Prop-fan data support study

Updated parametric prop-fan data packages are presented and the rationale used in developing the new prop-fan data is detailed. These data represent Hamilton Standard's projections of prop-fan characteristics for aircraft that are expected to be in-service in the 1985 to 1990 time frame. The basic prop-fan configuration was designed for efficient cruise operation at 0.8 Mach number and 10,668M altitude. The design blade tip speed is 244 mps and the design power loading is 301 KW/M squared

Perbandingan Pendapatan USAhatani Campuran Berdasarkan Pengelompokan Jenis Tanaman

The objective of research is to compare how much the average income per hectare of farms mixture by grouping types of plants in the Airmadidi Bawah Village. This research was conducted in the Airmadidi Bawah urban village for 3 months, from September to November 2015 with the method of data collection by using primary data. Samples taken were 15 for each farming mix using cluster random sampling technique. To determine the ratio mix used farm income analysis tool SPSS by using t-test. The results showed that there were significant differences between 1st mixed farming with 2nd mixed farming; the average income per hectare of 1st mixed farming Rp. 35.921.389,- was higher than the average income per hectare of 2nd mixed farming Rp. 30.430.699,- Results of testing the hypothesis 1st mixed farming and 2nd mixed farming shows the t-test (4.910) > t-table (1,761). From the test results, Ho is rejected and H1 is accepted, it means that there are differences in the average income per hectare of the 1st mixed farming and 2nd mixed farming.jnk

Effect of Tuned Parameters on a LSA MCQ Answering Model

This paper presents the current state of a work in progress, whose objective is to better understand the effects of factors that significantly influence the performance of Latent Semantic Analysis (LSA). A difficult task, which consists in answering (French) biology Multiple Choice Questions, is used to test the semantic properties of the truncated singular space and to study the relative influence of main parameters. A dedicated software has been designed to fine tune the LSA semantic space for the Multiple Choice Questions task. With optimal parameters, the performances of our simple model are quite surprisingly equal or superior to those of 7th and 8th grades students. This indicates that semantic spaces were quite good despite their low dimensions and the small sizes of training data sets. Besides, we present an original entropy global weighting of answers' terms of each question of the Multiple Choice Questions which was necessary to achieve the model's success.Comment: 9 page

Multi-Prover Commitments Against Non-Signaling Attacks

We reconsider the concept of multi-prover commitments, as introduced in the late eighties in the seminal work by Ben-Or et al. As was recently shown by Cr\'{e}peau et al., the security of known two-prover commitment schemes not only relies on the explicit assumption that the provers cannot communicate, but also depends on their information processing capabilities. For instance, there exist schemes that are secure against classical provers but insecure if the provers have quantum information processing capabilities, and there are schemes that resist such quantum attacks but become insecure when considering general so-called non-signaling provers, which are restricted solely by the requirement that no communication takes place. This poses the natural question whether there exists a two-prover commitment scheme that is secure under the sole assumption that no communication takes place; no such scheme is known. In this work, we give strong evidence for a negative answer: we show that any single-round two-prover commitment scheme can be broken by a non-signaling attack. Our negative result is as bad as it can get: for any candidate scheme that is (almost) perfectly hiding, there exists a strategy that allows the dishonest provers to open a commitment to an arbitrary bit (almost) as successfully as the honest provers can open an honestly prepared commitment, i.e., with probability (almost) 1 in case of a perfectly sound scheme. In the case of multi-round schemes, our impossibility result is restricted to perfectly hiding schemes. On the positive side, we show that the impossibility result can be circumvented by considering three provers instead: there exists a three-prover commitment scheme that is secure against arbitrary non-signaling attacks

Tingkat Kepuasan Konsumen Restoran Pondok Hijau Kota Manado

This study aims to measure the level of customer satisfaction of green cottage restaurant viewed from the aspect of product, price, place, promotion and service. This research was conducted from February to April 2017, using primary and secondary data with sampling technique of accidental sampling method and respondents were 96 people. The method of analysis used is descriptive data analysis depicting Level of Consumer Satisfaction at Restaurant Pondok Hijau Manado City. To measure the Level of Consumer Satisfaction at Restaurant Pondok Hijau Manado City, use the Likert Scale. The result of the research showed that the perception index of customer satisfaction to the service of distribution for credit of grassroot business at Bank BRI Unit Tomohon Utara Tomoho City, Consumer Satisfaction Level of Pondok Hijau Restaurant in Manado was 76.64% and classified as Very Satisfied (SP)

Pemasaran Buah Stroberi dari Kelurahan Rurukan dan Rurukan Satu Kecamatan Tomohon Timur, Kota Tomohon

This study aims to find out the marketing channels of strawberries ranging from farmers in the Village Rurukan and Rurukan one to the supermarket. The research was conducted in Kelurahan Rurukan and Rurukan Satu East Tomohon Subdistrict Tomohon City for three months from May 2016 until July 2016. The data obtained are primary and secondary data. Primary data is data sourced from direct interviews with related parties, among others strawberry farmers who became the subject of research. Secondary data is data obtained by the researcher who sourced from documents from related agencies, such as: Rurukan urban village office and Rurukan Satu East Tomohon subdistrict Tomohon City, internet and library sources or literature book data is analyzed by using marketing margin, farmer's share and profit margin. Based on the results of marketing channel research as much as two channels of marketing channel I ranging from farmers to final consumers, marketing channels II farmers to the Supermarket divided into two places namely Cool Tomohon and Freshmart Bahu. The result of marketing Margin of strawberry fruit on channel I is Rp. 0 (0%). For marketing margin value II is Rp. 6500 (30, 23%) (Cool) and Rp. 13,000 (46, 42%) (Freshmart). This shows that the largest margin of marketing value occurs in the marketing channel II in the supermarket Freshmart. The largest profit margin in the strawberry fruit sequence that occurs in marketing channel I between farmers to consumers with profit margin of Rp. 13,250 (98.14%).*jnkd

Children’s Cultural Capital and Teachers’ Assessments of Effort and Ability: The Influence of School Sector

Bourdieu (1973) theorized that differences in social background correspond to differences in possession of cultural resources (cultural capital), as well as the orientation to those resources (habitus). Additionally, Bourdieu argued that struggles for power occur in different settings (fields). His essay reviews Bourdieu’s main ideas and describes how they may apply to the American educational system. In particular, two setting are considered; public elementary schools and Catholic elementary schools. Based in analyses using data form the Early Childhood, Longitudinal Study (ECLS), Catholic school kindergartners are more likely to participate in arts activities, and their parents are more likely to be involved in and comfortable with the school environment. Regression analysis show that arts lessons and attendance at arts events do not affect teachers’ perceptions of the effort or ability of students in either public or Catholic schools. Parents’ orientation toward school has more of an effect in public than in Catholic schools. In public schools, attending open houses and conferences, volunteering, and feeling unwelcome at school all affect teachers’ evaluations of students’ effort and ability, while only attendance at school events and conferences affect teachers’ perceptions in Catholic schools. These findings suggest that the traditional definition of cultural capital may not be appropriate for young American children, that parents’ orientation toward schooling should be included in future studies of educational stratification, and that more research is needed in the examination of public-Catholic school differences in cultural resources

A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle

The robotic automation of processes is of much interest to organizations. A common use case is to automate the repetitive manual tasks (or processes) that are currently done by back-office staff through some information system (IS). The lifecycle of any Robotic Process Automation (RPA) project starts with the analysis of the process to automate. This is a very time-consuming phase, which in practical settings often relies on the study of process documentation. Such documentation is typically incomplete or inaccurate, e.g., some documented cases never occur, occurring cases are not documented, or documented cases differ from reality. To deploy robots in a production environment that are designed on such a shaky basis entails a high risk. This paper describes and evaluates a new proposal for the early stages of an RPA project: the analysis of a process and its subsequent design. The idea is to leverage the knowledge of back-office staff, which starts by monitoring them in a non-invasive manner. This is done through a screen-mousekey- logger, i.e., a sequence of images, mouse actions, and key actions are stored along with their timestamps. The log which is obtained in this way is transformed into a UI log through image-analysis techniques (e.g., fingerprinting or OCR) and then transformed into a process model by the use of process discovery algorithms. We evaluated this method for two real-life, industrial cases. The evaluation shows clear and substantial benefits in terms of accuracy and speed. This paper presents the method, along with a number of limitations that need to be addressed such that it can be applied in wider contexts.Ministerio de Economía y Competitividad TIN2016-76956-C3-2-

Gene Function Classification Using Bayesian Models with Hierarchy-Based Priors

We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic descriptors, sequence based attributes, and predicted secondary structure. We discuss three Bayesian models and compare their performance in terms of predictive accuracy. These models are the ordinary multinomial logit (MNL) model, a hierarchical model based on a set of nested MNL models, and a MNL model with a prior that introduces correlations between the parameters for classes that are nearby in the hierarchy. We also provide a new scheme for combining different sources of information. We use these models to predict the functional class of Open Reading Frames (ORFs) from the E. coli genome. The results from all three models show substantial improvement over previous methods, which were based on the C5 algorithm. The MNL model using a prior based on the hierarchy outperforms both the non-hierarchical MNL model and the nested MNL model. In contrast to previous attempts at combining these sources of information, our approach results in a higher accuracy rate when compared to models that use each data source alone. Together, these results show that gene function can be predicted with higher accuracy than previously achieved, using Bayesian models that incorporate suitable prior information

A non-intrusive movie recommendation system

Several recommendation systems have been developed to support the user in choosing an interesting movie from multimedia repositories. The widely utilized collaborative-filtering systems focus on the analysis of user profiles or user ratings of the items. However, these systems decrease their performance at the start-up phase and due to privacy issues, when a user hides most of his personal data. On the other hand, content-based recommendation systems compare movie features to suggest similar multimedia contents; these systems are based on less invasive observations, however they find some difficulties to supply tailored suggestions. In this paper, we propose a plot-based recommendation system, which is based upon an evaluation of similarity among the plot of a video that was watched by the user and a large amount of plots that is stored in a movie database. Since it is independent from the number of user ratings, it is able to propose famous and beloved movies as well as old or unheard movies/programs that are still strongly related to the content of the video the user has watched. We experimented different methodologies to compare natural language descriptions of movies (plots) and evaluated the Latent Semantic Analysis (LSA) to be the superior one in supporting the selection of similar plots. In order to increase the efficiency of LSA, different models have been experimented and in the end, a recommendation system that is able to compare about two hundred thousands movie plots in less than a minute has been developed