Miracle-dz/UniFAR-FTUs huggingface dataset:
A Recommendation System for Scientific Papers through Bayesian Nonparametric Hybrid Filtering

Recommender systems have become an important area of research with numerous applications on ecommerce. This chapter introduces a joint statistical model for user preferences and item features that can serve as the basis for a recommendation about recently published scientific papers. The model is constructed using ideas from the literature on Bayesian nonparametric mixture modeling. More specifically, user preferences are modeled using an Infinite Relational Model (IRM) in which both users and items are independently partitioned into homogeneous groups, while item features are modeled using a topic model, which also partitions items into groups with homogenous features. Information is shared across both components of the model through a common partition of items. Hence, the model is a hybrid system that combines ideas from collaborative and content-based filtering. The chapter discusses three different computational strategies, including a Markov chain Monte Carlo algorithm for full posterior inference, an iterated conditional maximization algorithm, and a mean-field variational algorithm for point estimation and prediction in large datasets where Markov chain Monte Carlo approaches might not be practical. The model is illustrated through simulation studies and by analyzing data from CiteULike.
An Approach to Recognition of Authentication Code

Recognition of authentication code is investigated from the perspective of strengthening website security.A preprocessing algorithm is first developed to remove the disturbance factors in the image and obtain the characters,followed by using some classifiers for recognition purposes.The experimental results suggest that the developed algorithm and selected classifiers are the most critical part in the recognition process.Some loopholes are still identified in the authentication codes in the website protection phase,and hence further investigation into this issue is needed.
BRAIN IMAGING TECHNIQUES FOR BRAIN TUMOR CLASSIFICATION USING ARM AND SRM TECHNIQUE

Functional Magnetic Resonance Imaging (fMRI) is a non-invasive way of scanning technology that provides a potential way to study brain function. Massive in volume and complex in terms of the information content, fMRI data requires effective data mining techniques. The difficulty in this problem comes from the huge number of image voxels that may provide relevant information with respect to the limited number of available images. To understand the complex interaction patterns among brain regions we propose Statistical Region Merging (SRM) technique. Segmentation of images are done using SRM technique. It is difficult to predict the tumor type with the use of metabolite value. Association Rule Mining is one of fundamental research topic in Data Mining that plays a vital role to detect brain tumor in fMRI scan. Apriori Association Rule, Predictive Apriori Algorithm Filtered Associator Algorithm are used to find out tumor type.
Research on prognostic and health management system for aircraft electrical power system using multi-agent

Aiming at the requirements of complex and multi-mission in AEPHM(Aircraft Electrical Power Prognostic and Health Management System) and using the OSA-CBM(Open System Architecture for Condition-Based Maintenance) model as the standard structure,the architecture based on multi-agent is proposed.Different agents and their correlations are descried by using the example of the prototype system.The system model of AEPHM is constructed by using AUML(Agent Unified Modeling Language). The details of the main interaction of each agent with the other agents are described by AUML protocol diagram.Practice shows that a novel mode to the design and development of PHM system for aircraft airborne equipment is provided.
Achieving high-performance with a sparse direct solver on Intel KNL

The need for energy-efficient high-end systems has led hardware vendors to design new types of chips for general purpose computing. However, designing or porting a code tailored for these new types of processing units is often considered as a major hurdle for their broad adoption. In this paper, we consider a modern Intel Xeon Phi processor, namely the Intel Knights Landing (KNL) and a numerical code initially designed for a classical multi-core system. More precisely, we consider the qr_mumps scientific library implementing a sparse direct method on top of the StarPU runtime system. We show that with a portable programming model (task-based programming), a good software support (a robust runtime system coupled with an efficient scheduler) and some well defined hardware and software settings, we are able to transparently run the exact same numerical code. This code not only achieves very high performance (up to 1 TFlop/s) on the KNL but also significantly outperforms a modern Intel Xeon multi-core processor both in terms of time to solution and energy efficiency up to a factor of 2.0.
Behavior fusion path planning method for mobile robot based on fuzzy logic

A behavior fusion path planning method for mobile robot is developed based on fuzzy logic. The operating principle, con- stitution and the implementation method of the fuzzy controller are also developed. The path planner combined fuzzy logic control and behaviorcontrol which is based on fuzzy logic controland composed of obstacle avoidance, target steering and fuzzy behavior supervisor. Simulation studies and experiments show that the control system prevent the robot from obstacle collision.
A study of dorsal vein pattern for biometric security

There are many biometrics and vein pattern is one of them. Palm vein pattern has attracted many researchers as a biometric. However, dorsal vein pattern has not received enough attention. In this study dorsal vein pattern is being investigated with a view to use it as a biometric. There is a distinctive pattern of veins at the back of the hand. When a fist shape is made by the hand, a unique pattern of blood vessel is formed. This pattern can be used as a biometric in security systems. However, there are a number of challenges in this approach. The position of the hand while capturing the pattern and the effect of mental, physical and biological changes, like aging, in the human being concerned are major problems to be addressed. In this paper, we study one of the main challenges, viz., the position of the hand while capturing the main pattern and discuss a suitable method of implementing the same. The paper also outlines a discussion on the other challenges.
Exploring Issues in a Networked Public Sphere

We propose a methodological approach to analyze the content of hyperlink networks which represent networked public spheres on the Internet. Using the case of the food safety movement in the United States, we demonstrate how to generate a hyperlink network with the web crawling tool Issue Crawler and merge it with the results of a probabilistic topic model of the network’s content. Combining hyperlink networks and content analysis allows us to interpret such a network in its entirety and with regard to the mobilizing potentials of specific sub-issues of the movement. We focus on two specific sub-issues in the food safety network, genetically modified food and food control, in order to trace the involved websites and their interlinking structures, respectively.
Design of a handheld infrared imaging device based on uncooled infrared detector

This paper, we introduced the system structure and operation principle of the device, and discussed our solutions for image data acquisition and storage, operating states and modes control and power management in detail. Besides, we proposed a algorithm of pseudo color for thermal image and applied it to the image processing module of the device. The thermal images can be real time displayed in a 1.8 inches TFT-LCD. The device has a compacted structure and can be held easily by one hand. It also has a good imaging performance with low power consumption, thermal sensitivity is less than 150mK. At last, we introduced one of its applications for fault diagnosis in electronic circuits, the test shows that: it’s a good solution for fast fault detection.
THE PATTERN OF CORRUPTION AN ERADICATION STRATEGY IN INDONESIA AS A DEMOCRATIC COUNTRY

High rates of corruption in Indonesia be the one to proof that corruption is a comprehensive type of crime. Related to that, the pattern of corruption eradication must be comprehensive, simultaneous, holistic and integrated. In its development, the pattern of eradicating corruption in Indonesia needs to be done by "Systemic Thinking". So that existing patterns of corruption can be overcome, eradicated, and prevented from reaching the root. Eradicating corruption in Indonesia today still views corruption as partial and not patterned. Thus, the handling only focuses on the corruption case itself rather than the existing pattern of corruption. In principle, if we look at the pattern of corruption, society and bureaucratic factors is not one of the most fundamental aspects, it will begin with a political party factor that produces cadres of government leaders such as the president, governor, mayor, and legislator. This paper tries to illustrate how the democratic system correlates with patterns of corruption, what are the elements of weakness in the current democratic system in Indonesia which are the causes of corruption and how to solve it. There are four strategies that must be carried out to eradicate corruption in Indonesia, namely rearranging political parties, ethics and anti-corruption education for political party cadres, carrying out mandate of Article 15 of Law Number 2 of 1999 Concerning Political Parties related to financial reporting, and improving the audit cost of campaign costs.
Exchange Rate Volatility and Exports: Some New Estimates From the Asean-5

ABSTRACT:This study addresses the relative paucity of research on the effect of exchange rate volatility on export performance in Southeast Asia by examining this relationship for the ASEAN-5 group, which includes Thailand, Malaysia, Singapore, Indonesia and the Philippines. In doing so, our study develops an export function model with domestic output, world output, terms of trade and exchange rate volatility as explanatory variables, and export volume as the dependent variable. To capture exchange rate volatility, we use of the real effective exchange rate, as opposed to the traditional bilateral exchange rate, as it accounts for price levels in the countries under study. From a statistical perspective, export volatility is derived from the real effective exchange rate using a GARCH model. Estimates for each of the ASEAN-5 countries are produced from panel data. Unit root tests indicate that all of the variables' series are integrated of order one, and hence they are stationary only in first-difference form. A Johansen-Fisher panel cointegration test rejects the null hypothesis of no cointegration. As such, the main model includes an error correction term, and, in order to ensure that the unobserved country-specific variables are not correlated with the right-hand side variables, a fixed effects estimator is used. The results suggest that changes in both domestic and world output have a positive effect on export volume, while a deterioration in the terms trade has a negative effect on export volume, at least for countries in this region. Lastly, exchange rate volatility has a negative impact on the export performance of the ASEAN-5. Our results suggest that, even though it is not possible to completely eliminate exchange rate volatility, governments can adopt appropriate macroeconomic policies to minimize the volatility of their respective currencies. In particular, given that the ASEAN-5 countries have adopted floating exchange rate systems, their corresponding central banks can intervene in the market in order to minimize exchange rate volatility. Additionally, these central banks might work to reduce volatility in their respective price levels as well.
A Summarization of PID Control Parameters Self-tuning Methods

PID controller is widely used in industrial process for its good robustness and fixed form,but the parameters of PID controller are affected by the complexity and nonlinearity of the control system,so how to tune the parameters of PID controller has become the focus of research.With a brief summary of PID theory,this paper discusses some of the most used PID tuning methods and some of the more recent promising techniques.
Test-retest reliability for common tasks in vision science

Research in perception and attention has typically sought to evaluate cognitive mechanisms according to the average response to a manipulation. Recently, there has been a shift toward appreciating the value of individual differences and the insight gained by exploring the impacts of between-participant variation on human cognition. However, a recent study suggests that many robust, well-established cognitive control tasks suffer from surprisingly low levels of test-retest reliability (Hedge, Powell, & Sumner, 2018b). We tested a large sample of undergraduate students (n = 160) in two sessions (separated by 1–3 weeks) on four commonly used tasks in vision science. We implemented measures that spanned a range of perceptual and attentional processes, including motion coherence (MoCo), useful field of view (UFOV), multiple-object tracking (MOT), and visual working memory (VWM). Intraclass correlations ranged from good to poor, suggesting that some task measures are more suitable for assessing individual differences than others. VWM capacity (intraclass correlation coefficient [ICC] = 0.77), MoCo threshold (ICC = 0.60), UFOV middle accuracy (ICC = 0.60), and UFOV outer accuracy (ICC = 0.74) showed good-to-excellent reliability. Other measures, namely the maximum number of items tracked in MOT (ICC = 0.41) and UFOV number accuracy (ICC = 0.48), showed moderate reliability; the MOT threshold (ICC = 0.36) and UFOV inner accuracy (ICC = 0.30) showed poor reliability. In this paper, we present these results alongside a summary of reliabilities estimated previously for other vision science tasks. We then offer useful recommendations for evaluating test-retest reliability when considering a task for use in evaluating individual differences.
Non-audit fees and auditor independence: Nigerian evidence

Purpose This study aims to investigate the extent to which the provision of non-audit services (NAS) by external auditors to audit clients affects auditors’ independence and the audit expectation gap in Nigeria. Design/methodology/approach The study adopts an interpretivist approach. In total, 30 semi-structured, face-to-face interviews were conducted to explore the views expressed by audit partners and pension fund managers in Nigeria; group responses were evaluated and presented separately. After transcribing the interview audio recordings, a thematic data analysis of the two groups’ responses was performed. Findings Interpretation of the interview responses indicates that the provision of NAS by audit firms to their audit clients is regarded by auditors as a matter of economic necessity. Nevertheless, it is also perceived as impeding auditors’ independence and increasing the gap between the auditor and public expectations. Practical implications This study contributes to the debate surrounding the need for an independent body to oversee auditing standard setting distinct from the current practice to enhance transparency. Originality/value A qualitative analysis of the nuanced responses obtained from the semi-structured interviews reveals starkly the perceived economic pressures on auditors to accept non-audit work. Moreover, it endorses the regulation to restrict non-audit work in support of a sustainable fee level for an independent audit.
The Research and Implemention of Example-based Machine Translation of Ancient Chinese

This paper first analyzes the methods of machine translation(MT),then proposes a system of example-based machine translation about ancient Chinese(EBMTAC),and finally describes how to design and implement the system.Experimental results demonstrate that this system's effect of translation is good and the system needs less analysis about syntax and semantics in depth.
A Multiple-population Parallel Genetic Algorithm Based on Platform MPICH

Based on the cluster system's software development environment MPICH,a multiple-population parallel genetic algorithm framework is presented.In this algorithm framework,every sub-population can exchange information of its individuals with all the others through global migrating among the sub-populations in the communicating community of the cluster,and each sub-population determines its migrating frequency by the rule of simulating anneal.This paper also shows a solution to a kind of optimization problems which seek the minimal value of the N-Dimension function using the algorithm framework.Finally,two examples of the mentioned problems are tested and the performance of the multiple-population parallel genetic algorithm is analyzed by the test data.The result reveals that the algorithm not only has a linear speedup ratio but also can obtain a more optimal value as the number of processes of the communicating community increasing.
Over-the-Counter Market Frictions and Yield Spread Changes

We empirically study whether systematic over-the-counter (OTC) market frictions affect the large unexplained common factor in yield spread changes. Using transactions data on U.S. corporate bonds, we show that measures of marketwide inventory, search, and bargaining frictions reduce the unexplained common component by 19 percentage points. Systematic OTC frictions substantially improve the explanatory power of yield spread changes and account for one-third of their total explained variation. Inventory frictions are equally important in explaining the dynamics of yield spread changes as search and bargaining frictions combined. Our findings support the implications of leading theories of intermediation frictions in OTC markets.
Comparison of Document Index Graph Using TextRank and HITS Weighting Method in Automatic Text Summarization

Automatic summarization is a system that can help someone to take the core information of a long text instantly. The system can help by summarizing text automatically. there’s Already many summarization systems that have been developed at this time but there are still many problems in those system. In this final task proposed summarization method using document index graph. This method utilizes the PageRank and HITS formula used to assess the web page, adapted to make an assessment of words in the sentences in a text document. The expected outcome of this final task is a system that can do summarization of a single document, by utilizing document index graph with TextRank and HITS to improve the quality of the summary results automatically.
Connecting Small Farmers in the Caribbean to Knowledge, Networks, and Institutions Through ICTs

ABSTRACT Information and communication technologies (ICTs) have been shown to be useful in agricultural knowledge systems to improve communication linkages among research, extension services, and farmers. The end result would be new information and technologies being made available to those who need it the most in larger numbers and in a timelier manner. While the role of ICTs in stimulating technological, organizational, institutional, and policy innovations in developing countries has been recognized, in many Caribbean States where ICTs are becoming readily available, the development and use of ICT in agricultural research and innovation systems remain underexploited, despite the fact that the agricultural sector in these developing nations accounts for a significant amount of the total employed labor force. This article traces key developments in ICT use in the agricultural sector in the Caribbean region, while highlighting the challenges as well as the potential of this technology. Several initiatives in the region are described and suggestions made for the development of innovative, appropriate, and efficient information and communication systems.
Book-to-Market Decomposition, Net Share Issuance, and the Cross Section of Global Stock Returns

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market—changes in book value, changes in price, and net share issues. This conclusion is supported using data representing North America, Europe, Japan, and Asia. Results are highly consistent across all global regions and hold for small and big market capitalization subsets as well as in different subperiods. Variables measured over the past twelve months are more relevant than variables measured over the past thirty-six months, demonstrating that recent news is more important than old news.
Queue-based random access in wireless networks

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Syntactic Variations Of African American Vernacular English (Aave) In Iggy Azalea’s Selected Songs

This study concerns on analyzing the syntactic variations of African American Vernacular English in Iggy Azalea’s selected songs, Down South, 1800 Bone, Yo El Rey, Flexin Finessin, and My World. The data were analyzed based on the theory from Wolfram (2004) in order to identify syntactic variations of African American Vernacular English and Miller (2002) in order to compare syntactic variations between African American Vernacular English and Standard English. In conducting the study, the qualitative approach was used where the data and the result of the study were presented descriptively rather than statistically. The purpose of this study were to identify syntactic variations of African American Vernacular English (AAVE), to describe the differences between syntactic variations of African American Vernacular English (AAVE) and Standard English (SE), and the last, to know which syntactic variations of African American Vernacular English were mostly used in Iggy Azalea’s selected songs. Thus, from the study, there are eight types of syntactic variations of African American Vernacular English, copula absence, Invariant be, remote been, subject-verb-non-agreement, specialized auxiliary (finna), double negations, the use of ain’t for negation, and demonstrative them. The most usage of syntactic variation of African American Vernacular English in Iggy Azalea’s selected songs is Copula absence with 12 data from 37 data. Keywords: Sociolinguistics, African American Vernacular English (AAVE), Standard English, Syntactic Variations, Iggy Azalea’s songs