Miracle-dz/UniFAR-FTUs huggingface dataset:
3D Laser Scanners: History, Applications, and Future

A 3D scanner is a device that analyses a real-world object or environment to collect data on its shape and possibly its appearance (e.g. colour). The collected data can then be used to construct digital three-dimensional models. Many different technologies can be used to build these 3D-scanning devices; each technology comes with its own limitations, advantages and costs. Many limitations in the kind of objects that can be digitized are still present, for example, optical technologies encounter many difficulties with shiny, mirroring or transparent objects. For example, industrial computed tomography scanning can be used to construct digital 3D models, applying non-destructive testing. Collected 3D data is useful for a wide variety of applications. These devices are used extensively by the entertainment industry in the production of movies and video games. Other common applications of this technology include industrial design, orthotics and prosthetics, reverse engineering and prototyping, quality control/inspection and documentation of cultural artifacts.
Profitability of agricultural research: the case of genetic improvement of cattle for milk production in Cameroon

Data from production and financial records from the Wakwa Centre for Animal and Veterinary Research were used to find out whether or not genetic improvement for dairy production is a profitable investment. The herd projection computer program was used to herd-project the performance of 100 Holstein x Gudali crossbred and 100 Gudali heifers over a 10-year period. Despite the high mortality rate of the crosses, their overall improvement over the local Gudali led to a benefit-cost ratio of 4.21. This suggests that genetic improvement of local cattle through crossbreeding for dairy production can be a profitable venture. Crossbred dairy farming is therefore recommended for the dairy industry in Cameroon. Keywords: Cattle, genetic improvement, milk production, profitability, Cameroon
A Study of Dictionary Based Korean Semantic Role Labeling

A semantic role is information used to clarify the role of entities in an event that a sentence describes, including agent, theme, experience, object, and location. Semantic role labeling (SRL) is a process that determines the semantic relation of a predicate and its arguments in a sentence and is an important factor in the semantic analysis of natural language processing, in addition to word sense disambiguation. To date, many manual semantic tagging tasks have been constructed; however, these tasks require a great deal of time and cost. To solve this problem, we propose a method for automatic SRL using frame files included in the Korean version of Proposition Bank (PropBank), which is one of the most widely used corpora. Frame files provide guidelines for PropBank annotators and include a list of framesets, which stand for a set of syntactic frames. First, we select the proper sense of the predicate from among multiple senses of the predicate in the frame files. Senses of the predicate are classified according to the semantic and syntactic properties of the predicate’s arguments. We collect the nouns in a sample sentence of a given sense; we also collect all of the nouns that appear in a given sentence. The semantic similarities between the nouns from the sample sentence and the given sentence are measured and the sense with the highest similarity value is selected. The frame information of the selected sense is used for SRL of the given predicate and its arguments.
The Determinant Factors of E-Commerce Purchase Decision in Jakarta and Tangerang

This research aimed to identify the factors that influenced the purchase decision in e-commerce. These used factors were brand image, price, and trust which were adopted from the previous research. The research was designed using a quantitative method with accidental sampling. From 200 questionnaires, there were 117 returned questionnaires from respondents who had made online purchases around Jakarta and Tangerang. The data was analyzed using SPSS. The result shows that brand image has positive influences on purchase decision. On the other hand, price and trust do not influence it. Price is the secondary commitment to make a purchase decision. Thus, a lower price does not guarantee the convenience of online shopping. Meanwhile, trust in making online decisions are built from brand image, shop, and strong products in the market place. Those rejected variables are affected by research fields and target samples.
Compact International Experiences: One Path to Expanding Student International Awareness Through Short-Term Study-Abroad Elective Engineering Courses

As part of a drive by the home institution for internationalization of the curriculum as well as strong student desire for engineering international studies, compact international experience (CIE) courses were developed. The efficacy of delivering such engineering electives as studyabroad, short-term courses is described through the experiences gained by considering two distinct three-semester-unit courses in a three-week time frame in France and Australia, respectively. While each of these courses, Topics in Fluid Mechanics and Advanced Electronic Circuit Design, focused on its technical content, the desire for student understanding of the cultural environment and the impact of engineering solutions from a global and societal viewpoint were strong driving factors for each. The development of the two courses was undertaken with the hypothesis that CIE courses can successfully be taught in an intersession format while providing an international experience to the students. Assessment of the program was carried out through typical course evaluations, student surveys, and formalized instructor observations. Course evaluations were generally favorable. Students described the courses as “demanding, interactive and useful”, comparing “favorably to other courses I have taken in both workload and intellectual growth”, and stated “I learned a lot more than I would have in a semester. ” Instructors noted the considerable workload, but considered the experiences favorably in both technical and cultural context. Overall, CIE courses have been found to be a valuable approach in the delivery of senior-level technical electives combined with an international experience.
Improved Genetic Algorithm for Optimizing TSP Problem

Based on the analysis of the existing characteristics of genetic algorithm and traditional genetic algorithm in the problem, proposed to solve the traveling salesman problem by genetic algorithm framework, constructing appropriate to establish effective genetic operations (Traveling Sales man Problem) method for the TSP problem, through to the population size, the number of iterations, the crossover probability and mutation the probability of selection, the final verification of the superiority of the improved genetic algorithm in the optimization problem in TSP.
External Debt Financing and Public Capital Investment in Nigeria: A Critical Evaluation

Abstract This study considers the consequences of external loan on capital investment in Nigeria. Data for the study have been collected from the World Bank and Central Bank of Nigeria Statistical Bulletin, 2018 edition. The variables on which data are sourced include government capital expenditure, external debt accumulation, debt servicing cost, inflation rate, and exchange rate. Government capital expenditure is the dependent variable, while external debt accumulation and debt servicing cost are the key independent variables. Inflation and exchange rates are used as the moderating variables. The scope of the study covers the period from 1996 to 2018 and the data are analysed using the ordinary least squares multiple regression method. The regression results indicate that external debt has a significant negative impact on capital investment while debt servicing cost has a strong and significant positive effect on capital investment. Under this circumstance, the controlling variables are not significant in influencing capital investment. Hence, the study suggests more focus on profitable capital investments if external borrowing must be embarked upon. The need for the development of untapped natural resources, establishment of industries and revival of abandoned industries to boost debt repayment has been emphasized. The study also strongly recommends that the existing governments (state and federal) should endeavour to complete capital projects of past administrations in order to drive the economy and to avoid wastage of financial resources including the borrowed funds.
The LIUM ASR and SLT systems for IWSLT 2015

This paper describes the Automatic Speech Recognition and Spoken Language Translation systems developed by the LIUM for the IWSLT 2015 evaluation campaign. We participated in two of the proposed tasks, namely the Automatic Speech Recognition task (ASR) in German and the English to French Spoken Language Translation task (SLT). We present the approaches and specificities found in our systems, as well as our results from the evaluation campaign.
A VELOCIDADE DE FALA COMO PISTA ACÚSTICA DA EMOÇÃO BÁSICA DE RAIVA

O estudo da expressao acustica da emocao geralmente busca analisar se variaveis prosodicas, como entoacao (F0), velocidade de fala, pausas, ritmo, intensidade e duracao, sao pistas confiaveis para a caracterizacao dos estados emocionais do falante. O presente trabalho tem como objetivo verificar se existe uma associacao no Portugues do Brasil entre a emocao basica de “raiva” e a variavel prosodica “velocidade de fala”, como a literatura frequentemente sugere que ha para outros idiomas. O corpus consistiu de fragmentos de fala espontânea gravados a partir de um programa de radio. Os fragmentos foram selecionados com base em um teste de percepcao. Para a analise de producao, apenas trechos que foram identificados por mais de 75% dos participantes do teste perceptual como associados as categorias de “raiva” e “neutro” foram selecionados. Os resultados demonstraram que, para os dados que foram utilizados na analise, ha uma reducao da velocidade de fala quando os enunciados estao associados com a emocao de “raiva”, se comparado com expressoes faladas de forma “neutra” pelo mesmo falante, em oposicao ao que a literatura frequentemente indica para outras linguas.
Privacy-preserving collaborative analytics of location data (Konum verisinin gizliliğinin korunarak ortaklaşa analizi)

PRIVACY-PRESERVING COLLABORATIVE ANALYTICS OF LOCATION DATA Emre Yılmaz Ph.D. in Computer Engineering Advisor: Erman Ayday Co-advisor: Hakan Ferhatosmanoğlu September 2017 Deriving meaningful insights from location data helps businesses make better decisions. While businesses must know the locations of their customers to perform location analytics, most businesses do not have this valuable data. Location data is typically collected by other services such as mobile telecommunication operators and location-based service providers. We develop scalable privacy-preserving solutions for collaborative analytics of location data. We propose two classes of approaches for location analytics when businesses do not have the location data of the customers. We illustrate both of our approaches in the context of optimal location selection for the new branches of businesses. The first type of approach is retrieving the aggregate information about the customer locations from location data owners via privacy-preserving queries. We define aggregate queries that can be used in optimal location selection and we propose secure two-party protocols for processing these queries. The proposed protocols utilize partially homomorphic encryption as a building block and satisfy differential privacy. Our second approach is to generate synthetic location data in order to perform analytics without violating privacy of individuals. We propose a neighborhood-based data generation method which can be used by businesses for predicting the optimal location when they have partial information about customer locations. We also propose grid-based and clustering-based data generation methods which can be used by location data owners for publishing privacy-preserving synthetic location data. Proposed approaches facilitate running optimal location queries by businesses without knowing their customers’ locations.
Online Energy Management Strategy Based On Adaptive Model Predictive Control For Microgrid With Hydrogen Storage

Energy management optimization is still a big challenge for Microgrid, which includes Renewable Energy and Hydrogen Fuel Cell. In this paper, an online Adaptive Model Predictive Control (AMPC) based Energy Management Strategy (EMS) is proposed to increase the energy sources lifetime of the microgrid while minimizing hydrogen consumption. The EMS problem is simplified according to the control structure of microgrid system and the cost function of system is built and transferred to standard format of the Quadratic Programing problem to solve. Moreover, adaptive algorithm is used to automatically adjust the weights of different targets according to the states of system. It is shown by simulation results for different cases from MATLAB-Simulink TM that proposed EMS has significant effects on controlling State-of-Charge (SoC) of battery and a noticeable improvement on extension of Hydrogen Fuel Cell lifetime and battery charge-sustainability
A tagged cine-MRI and ultrasound study of the German vowel system

ABSTRACT. This project investigates the articulatory properties of German vowels on the basis of ultrasound and tagged Cine-MRI. German has 15 monophthongs, which are classified into seven tense-lax vowel pairs. However, understanding the phonetic correlate of vowel tenseness has proven elusive, partly due to the difficulty of obtaining global shape information for the tongue, especially the pharyngeal portion. Rendering a complete midsagittal image of the tongue, imaging techniques like Ultrasound and MRI are uniquely suited to investigate overall tongue configuration and in particular tongue root positioning. Tagged Cine-MRI allows to infer expansion and contraction patterns of the muscles of the tongue. The current project uses both of these techniques to compare tense and lax vowels midsagitally, coronally and in terms of muscular compression and expansion patterns. Results indicate that high vowels seem to behave differently from mid vowels. Also for the pharyngeal vowel pair /a: a/, which has been previously claimed to differ in duration only, consistent differences in tongue shape were found, particularly in the cross-sectional ultrasound recordings. Overall a lot of variability was observed within and between subjects in how the two classes of vowels are realized.
Employees Perceptions of Hotel Employment in Indonesia

: This paper investigates in what extend hotel employees in Indonesia confirm negative perceptions stated by previous studies concerning hotel employment. The quantitative data were obtained by distributing questionnaires to a total of 375 employees working in four- and five-star hotels in Surabaya and Bali. The result revealed that Indonesian employees did not support the proposition that hotel work has a poor image. Being uneducated, unproductive, and unmotivated were the least accepted images pertaining to the hotel characteristics. Independent samples T-test and One-way ANOVA test indicated that employees with different socio-demographic backgrounds of marital status, age, religions, educational levels, and job positions had significant differences in their perceptions towards hotel employment. By acknowledging employees’ perceptions on hotel characteristics, it is expected that hospitality leaders will be able to create a better positive image of the industry in order to attract and recruit better talented employees.
Accelerating CMIP data analysis with parallel computing in R

In this Technical Note we examine eight schemes for parallelizing Extreme Value Analysis (EVA) on Coupled Model Intercomparison Project data via R foreach, doParallel, and doMPI packages. We perform strong scaling studies to delineate the performance impacts of factors such as R cluster type (TCP/IP sockets and MPI), communication protocol (Ethernet, IP over InfiniBand, and MPI), loop parallelization (outer or inner loop), and approaches to reading data from the NCAR GLADE parallel filesystem. We elucidate peculiarities of R memory management and overhead associated with interprocess communication and discuss broadcast limitations of Rmpi. The best performing scheme parallelizes the outer EVA loop across latitude and reads only the subset of the data operated on in the inner loop over longitude; the different cluster types and communication protocols all perform about equally for this scheme. This configuration represents a parallel speedup of 50 with 96 R workers, and is scalable for EVA on larger problem sizes than those presented here.
PERSEPSI AUDITOR PEMERINTAH TERHADAP EFEKTIVITAS RED FLAGS DALAM MENDETEKSI PENIPUAN

This study aims to examine differences in perceptions between government external auditors and government internal auditors about the effectiveness of red flags in detecting fraud on procurement of government goods and services and get the most effective red flags by external and internal government auditors in detecting fraud on procurement of goods and services government. The research design is quantitative research with a sampling technique using a purposive sampling method. Respondents in this study are BPK auditors as external auditors and BPKP auditors as internal auditors. Data collection techniques by distributing questionnaires. The results of this study indicate that there are different perceptions between internal and external auditors on the effectiveness of red flags in the procurement of goods and services. This study does not provide evidence that the auditor's experience has a significant effect on the auditor's perception of the effectiveness of red flags.
Examination and Use Tax Effects of Self Assessment Moderating Technology System in Hotel Tax Revenue in Denpasar

This study aimed to test tax audits and the use of technology moderating effect of self assessment system in hotel tax revenue. Hotel tax is a local tax has the largest proportion among other local taxes to increase revenue (PAD) in the city of Denpasar, therefore the hotel tax became a focus for many people that the hotel tax revenue is increasing every year. The study was conducted at the taxpayer in the city of Denpasar. Data were collected through a questionnaire technique. The method used to determine the number of samples in this study using purposive sampling. The data analysis technique used is the test Moderated Regression Analysis (MRA). The results showed that the first; self-assessment system has a positive effect on hotel tax revenue, second; examination weaken the influence of self-assessment tax system in hotel tax revenue, third; the use of technology cannot moderate the effect of self-assessment system in hotel tax revenue. Keywords: tax audits, use of technology, self assessment system, hotel tax revenue DOI : 10.7176/RJFA/10-5-09 Publication date :March 31 st 2019
7. The role of IFRS accounting fundamentals
in predicting the market risk and return of the common stock – The
case of companies listed on the Oslo Stock Exchange

This paper explores the relationship between the IFRS based accounting variables and market price and risk variables. The main objective of this paper is to determine whether International Financial Reporting Standard’s (IFRS) accounting variables can add information efficiency to market participants on stock returns and systematic AKARSH KAINTH | MODELLER. FJORDANTOLOGIEN 2019 164 risk. Similar to the security betas, the accounting betas for individual securities are defined as the covariance between the earnings of securities and market to price ratios divided by the variance of market earnings to price ratios. Using the regular market model and Fama and MacBeth (1973) panel regressions the analysis determines a relationship between market and accounting relevant risk (betas). The paper provides insight into how the mandating of IFRS has influenced the systematic risk associated with common stocks listed on the Oslo Stock Exchange. The paper finds a statistically significant relationship between the accounting beta and the systematic risk of common stocks. The paper contributes to the efforts of researchers who have been trying to link the accounting variables to the market return variables and to the growing literature on the informational role of IFRS.
Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation

Abstract In 2014, Massive Open Online Courses (MOOCs) are expected to witness a phenomenal growth in student registration compared to the previous years. As MOOCs continue to grow in number, there has been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, "Smart Systems" are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. These assessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes.
A New Rate Adaptation Algorithm over Block-ACK of 802.11 Protocol

: Rate Adaptation is one important way to improve the throughput in the 802.11 networks. However, the previously proposed rate adaptation algorithms were based on the Basic-ACK mechanism. In IEEE 802.11e and 802.11n protocols, the Block-ACK was introduced to reduce the overhead caused by the ACKs so as to improve the system throughput. In this paper, we focus on the rate adaptation under the Block-ACK. Through a lot of simulation results, we find that the conventional rate adaption algorithms (e.g. ARF) under Block-ACK may cause the worse throughput than under Basic-ACK. Furthermore, we reveal that the main reason is that the channel quality information can’t be feedback timely and accurately, especially over the time-varying channel. Finally, we proposed a new rate adaption (B-ARF) algorithm to improve the throughput under the Block ACK mechanism. The simulation results validate that the B-ARF algorithm outperforms those traditional algorithms.
Deduce User Search Progression with Feedback Session

The web is a medium for accessing a great variety of information stored in various locations. As data on the web grows rapidly it leads to several problems such as increased difficulty of finding relevant information. When a user submits a query to the search engine, it must be able to retrieve information according to the user's intention. But search engine retrieves the list of pages ranked based on that similarity to the query. Sometimes the results are not according to users’ interests, because many relevant terms may be absent from queries and words may be ambiguous. Therefore, the results produced by the search engine are not satisfactory to fulfill the user query request. In order to solve this ambiguity, the proposed work is to discover the number of diverse user search goals for a query and represent each goal with some keywords automatically.