Miracle-dz/UniFAR-FTUs huggingface dataset:
Advance Detection of Faults in DrivesUsing MEMS

This paper presents advance detection of faults in drives using MEMS for Industrial applications. Motor Vibration analysis is also a measurement tool used to identify, predict, and prevent failures in rotating machinery. Implementing vibration analysis will improve the reliability of the machine and lead to better machine efficiency, reducing downtime by eliminating unexpected mechanical or electrical failures. The MEMS (Micro Electro Mechanical System) technology is used to detect the false in advance by vibrational monitoring method. The severity level of abnormality and the remaining usable life are also explored.
THE RELEVANCE OF CAPITAL STRUCTURE THEORIES TO CONSUMER PRODUCT FIRMS AT BURSA MALAYSIA

This paper examines the relevance of Capital Structure Management theories to the value of consumer product firms listed at Bursa Malaysia. Within the framework of Modigliani-Miller and Trade-Off theories, this paper uses Generalized Method of Moments (GMM) as an estimation model employing yearly panel data from the year 2010 to 2014. The test results from GMM indicate that earnings per share (EPS) and debt-equity ratio (D/E) have no significant relation with the firm’s value as represented by the closing price per share (CP). Even though the findings are rather alarming, one must admit that the Modigliani-Miller and Trade-Off theories are irrelevant to those consumer product companies at Bursa Malaysia. Perhaps, this is an indication that the efficient market hypothesis applicable to certain sectors at Bursa Malaysia.
Los comités de ética de investigación en América Latina: ¿Para qué sirven?

La implementación de los ensayos clínicos a América Latina comenzó a mediados de la década de 1940 bajo el patrocinio de universidades y de los Institutos Nacionales de Salud de los Estados Unidos de América. La cantidad de estudios fue relativamente baja y permaneció estancada hasta fines de la década de 1990, cuando la industria farmacéutica comenzó a externalizar los ensayos clínicos a la región. La historia y la experiencia de los comités de ética de investigación de América Latina es bastante corta, pero durante estos 25 años hemos visto muchos cambios en las regulaciones que determinan su organización, sus responsabilidades y desempeño. En este artículo, examinamos algunos de los problemas que enfrentan los comités de ética de América Latina, sus necesidades, su desempeño y su futuro, teniendo en cuenta el rápido aumento de la complejidad de los protocolos y las tecnologías de la salud. Después de analizar el trabajo de los comités de ética de investigación y las dificultades que enfrentan para cumplir con sus responsabilidades, discutimos algunas iniciativas para mejorar su desempeño. Creemos que ya es hora de rediseñar las responsabilidades de los comités.
Context-aware cognitive radios learning from data using machine learning techniques

Wired or wireless, connectivity has been a vital commodity of life and more so recently in the realm of information age. Those who have access to faster, more reliable and more ubiquitous connectivity—put simply, those who are “better connected”—will have significant advantages in commerce, research and a host of other arenas. In regards to wireless communications, due to the explosion in demand for higher capacity networks, availability of free spectrum resources have become increasingly scarce. The UHF spectrum band in particular, due to its excellent electromagnetic properties, has been reported as ine ciently used and congested by many spectrum regulators of the world. This spectrum resource scarcity issue combined with the ongoing research and development for more intelligent, autonomous and self-aware radio communication led to a vast amount of research on the concept of Cognitive Radio. This thesis researches the learning unit of cognitive radios. The learning unit is responsible for processing information and autonomous decision making. In particular, the research is focused on the extraction and usage of contextual information from the radio environment (e.g. Radio Access Technology type, channel access pattern learning/recognition) and how such information could be exploited to improve the performance of the cognitive radio. The key metrics discussed will be based on information extraction under noise, channel blocking and interference reduction to primary users. 7 We present a set of novel works involving Machine Learning, which is a branch of Artificial Intelligence. New implementation and use cases of state-of-the-art machine learning algorithms are presented that learn from real-life data. In a testbed setup we program software defined radios to recognize di erent Radio Access Technologies and their channel access patterns. The main technique used in the majority of the thesis is Artificial Neural Networks, concretely: Multi-Layer Perceptron Neural Nets, Self-Organizing Neural Nets, and Deep Auto-Encoders. In some of the works these neural network architectures have been combined in a novel way with Support Vector Machines, and Reinforcement Learning algorithms for channel classification and access. In this thesis we show that it is possible to achieve 95% correct classification at -25 dB among three di erent radio access technologies, namely, DVB-T, WCDMA and IEEE 802.11a, where, consequently, we can reason over the outcome of this classification to di erentiate between primary and secondary transmissions. We also show that, through the use of the proposed autoencoder approximate Q-learning technique, such context-aware cognitive radio can achieve better key performance metrics in dynamic spectrum access as compared to previously researched Q-learning algorithms.
Cahiers de recherche - Série Politique Economique - Cahier n°58 (2011/07) : Interregional transfers and economic convergence of regions

Large disparities exist among European regions. Not only do they exist across national borders, but also within many states. Countries redistribute a substantial amount of wealth through taxation and social security systems in order to promote equity among individuals. Such inter-personal redistribution has an impact at regional level, even in the absence of explicit regional policy at national level. Economic theory can help explain different levels of economic development as well as convergence and divergence dynamics among economies. Economic theory also suggests that taxes and redistribution of income are generally distorting economic activity. This paper empirically investigates convergence among European regions and the impact of interpersonal transfers on regional growth. Standard beta-convergence regressions are done in a cross section as well as in a panel data setting. Results suggest that convergence is taking place among the 229 European regions in the dataset, since a negative relationship between the initial level of income and the subsequent growth rates exist. Convergence within countries happens much slower, which indicates that the observed convergence is due to a convergence across countries. In order to estimate the impact of transfers, a transfer index allowing for a separate analysis of contributing and receiving regions is computed. Once controlling for regional fixed heterogeneity, no significant effect of transfers on income growth is found, neither on the contributing nor on the benefiting regions.
Cartographie de la situation du FLE

Confronte a des bouleversements socio-educatifs, le paysage du francais langue etranqere subitaujourd'hui des transformations. Enpointant lesdifferentes variables et leur evolution, nous mettrons en evidence un reseau de relations complexe auquel nous devrons nous referer pour pouvoir recadrer les voies de la formation.
Assessing Equity in School Leadership in California. Technical Report. Getting Down to Facts II.

California school systems and lay the founda�on for substan�ve conversa�ons about what educa�on policies should be sustained and what might be improved to ensure increased opportunity and success for all students in California in the decades ahead. Getting Down to Facts II follows approximately a decade a�er the first Getting Down to Facts effort in 2007. This technical report is one of 36 in the set of Getting Down to Facts II studies that cover four main areas related to state educa�on policy: student success, governance, personnel, and funding. Assessing Equity in School Leadership in California Technical Report
Time-Slot Reservation based Multiple Access Protocolfor the Internet of Things

In the Internet of Things (IoT), a gateway and a set of IoT devices (IoTDs) form a startopology and the IoTDs compete between them for sending uplink communication during short time slots. Therefore, in this paper, we propose a novel multiple access protocol with time-slot reservation that can increase the success rate of the uplink data transmission with collision avoidance in the IoT. Further, using a modem calculator tool from the LoRa Alliance, we evaluate the system performance of the low power wide area network which is designed for sensors and applications in terms of equivalent bitrate, time on air, and Tx energy consumption for the uplink of the IoTDs.
KÖYLERE HİZMET GÖTÜRME BİRLİKLERİNDE HİZMET KALİTESİNİN ÖLÇÜLMESİ: BAYRAMİÇ KÖYLERE HİZMET GÖTÜRME BİRLİĞİ ÖRNEĞİ

Firmalarin devamliligi icin musteri tatmini ne kadar onemliyse, siyasal iktidarlarin devamliligi icin de vatandas tatmini o kadar onemlidir. Bu nedenle, kamu kurum ve kuruluslarinin da firmalar gibi verdikleri hizmetin kalitesini olcmeleri gerekmektedir. Arastirmanin amaci, Servqual Olcegiyle Koylere Hizmet Goturme Birliklerinde (KHGB) hizmet kalitesinin olculup olculemeyeceginin belirlenmesidir. Arastirma verileri Bayramic KHGB meclis uyeleriyle anket yapilarak toplanmistir. Verilerin analizinde once, her boyuta iliskin guvenilirlik analizleri yapilmis, sonra agirliklandirilmamis Servqual puanlari hesaplanmistir. Ayni zamanda, KHBG meclis uyelerinin hizmet algilamalari ile beklentileri arasindaki farkin istatiksel olarak anlamli olup olmadigini arastirmak icin “t testi” yapilmistir. Arastirma sonucunda, Bayramic KHGB meclis uyelerinin Birlik tarafindan sunulan hizmetlerin hepsinde beklentilerinin altinda hizmet aldiklari algisina sahip olduklari anlasilmistir.
DESAIN DAN IMPLEMENTASI AUTOMATIC VIDEO CAPTIONING DENGAN SPEECH RECOGNITION MENGGUNAKAN HIDDEN MARKOV MODEL

Seiring perkembangan teknologi informasi, proses belajar-mengajar semakin banyak menggunakan media alternatif. Salah satu media pembelajaran alternatif yang digunakan adalah video. Untuk mempermudah pemahaman, biasanya video pembelajaran dilengkapi dengan caption atau teks keterangan tentang apa yang dibicarakan oleh pembicara. Akan lebih menghemat waktu dan energi apabila caption dihasilkan secara otomatis berdasarkan apa yang diucapkan pembicara. Oleh karena itu pada penelitian kali ini akan dibangun sistem Automatic Video Captioning menggunakan teknologi Speech Recognition . Sinyal suara dari video masukan diekstrak dan diproses dengan sistem speech recognition untuk menghasilkan teks yang sesuai. Pada penelitian ini sistem speech recognition dibangun dengan Linear Predictive Coding untuk ekstraksi ciri dan Hidden Markov Model untuk pencocokan ciri. Teks yang dihasilkan dari sistem speech recognition tersebut kemudian digunakan sebagai caption dari video masukan. Pengujian sistem dilakukan dengan mengubah-ubah jumlah data latih dan parameter HMM yaitu jumlah state dan jumlah cluster untuk mencari parameter dengan akurasi paling optimal. Dari hasil pengujian, didapatkan akurasi tertinggi sebesar 75,50% pada jumlah state 6, jumlah cluster 256, dan data latih sebesar 90 untuk setiap suku kata dalam database .
Tapping into agglomeration benefits by engaging in a community of practice

While a great deal is known in the agglomeration literature regarding the importance of having access to Marshallian externalities for firm performance, less is known about how geographically isolated and remote firms fare with the lack of such access. More recent literature suggests that firms, especially those within geographic proximity, can form a community of practice to facilitate deliberate learning and collectively create a shared repertoire, that is, a set of communal knowledge of procedures, techniques, and standards for best practices. Unlike Marshallian externalities, however, community of practice membership is not necessarily bounded by geography, and as such, isolated firms can also engage in a community of practice and unlock the shared repertoire for their own benefits. The study of the Ontario wine industry (1999–2009) finds that community of practice engagement weakens the detrimental impact of geographic isolation on firm performance, suggesting that isolated firms can tap into agglomeration benefits by engaging in a community of practice.
Sensor deployment algorithm based on virtual rhomb grid

The sensor deployment is either deterministic or self-organizing.Analyzing the relationships between both of the deployments,a Virtual Rhomb Grid-based Sensor Deployment(VRGSD) algorithm was proposed.The algorithm integrated both deterministic and self-organizing deployments in a unified framework.It(1) can form a MCDS(minimum connected dominating set);(2) ensures that there are no "holes" in the sensor field;(3) gains an advantage over VFA(Virtual Force Algorithm) for performance and effectiveness;(4) can select different coverage degree of sensing or connectivity for different applications.The flexibility of(4) allows the network to self-configure for a wide range of applications.
Research Progress and Prospects of Network Traffic Classification

In recent years,the number of applications and the scalability of the Internet have experienced a rapid improvement.As one of the basic technologies for enhancing network controllability,traffic classification can not only provide better QoS for ISPs,but also supervise and manage network effectively,which can ensure the security of the Internet.In this paper,we first review the methodology and achievements in the field of traffic classification by comparing these traditional methods,and pointing out their advantages and disadvantages.Then we explain and analyze the related research progress aiming at challenges in reality such as real-time classification in backbone network,encrypted traffic classification,fine-grained classification,and constantly changing protocols classification etc.Finally,we look into the future of our research.
Soil Gaseous Emissions and Partial C and N Balances of Small-Scale Farmer Fields in a River Oasis of Western Mongolia

During the last decades, Mongolian river oases were subjected to an expansion of farmland. Such intensification triggers substantial gaseous carbon (C) and nitrogen (N) losses that may aggravate disequilibria in the soil surface balances of agricultural plots. This study aims to quantify such losses, and assess the implications of these emissions against the background of calculated partial C and N balances. To this end, CO2, NH3, and N2O soil emissions from carrot, hay, and rye plots were measured by a portable dynamic closed chamber system connected to a photoacoustic multi-gas analyzer in six farms of the Mongolian river oasis Bulgan sum center. Average C and N flux rates (1313 g CO2-C ha−1 h−1 to 1774 g CO2-C ha−1 h−1; 2.4 g NH3-N ha−1 h−1 to 3.3 g NH3-N ha−1 h−1; 0.7 g N2O-N ha−1 h−1 to 1.1 g N2O-N ha−1 h−1) and cumulative emissions (3506 kg C ha−1 season−1 to 4514 kg C ha−1 season−1; 7.4 kg N ha−1 season−1 to 10.9 kg N ha−1 season−1) were relatively low compared to those of other agroecosystems, but represented a substantial pathway of losses (86% of total C inputs; 21% of total N inputs). All C and N balances were negative (−1082 kg C ha−1 season−1 to −1606 kg C ha−1 season−1; −27 kg N ha−1 season−1 to −65 kg N ha−1 season−1). To reduce these disequilibria, application of external inputs may need to be intensified whereby such amendments should be incorporated into soil to minimize gaseous emissions.
Defense Industry Clusters in Turkey

All countries strive for a capable national defense supported by a strong national defense industry. Supporting national defense with imported defense systems has many limitations and risks because the terms of arms trade agreements between countries may easily be infl uenced by the political climate of the signatories. As a result, establishing an independent national defense requires a strong national defense industry. Furthermore, exporting defense systems may be an important source of national income. National defense industries mostly consist of large-scale defense fi rms that have the resources required for big defense contracts. However, small to medium enterprises (SMEs) do not have the necessary resources, therefore they are at a disadvantage. To overcome this handicap and be part of the business, defense industry clusters mostly consisting of SMEs are being established. Provided that there is good national planning and support in this area, defense clusters consisting of SMEs may play a signifi cant role in industry. SMEs have a chance to offer specialized services, special or customized products when needed. As a result, large defense fi rms subcontract certain portions of defense projects to SMEs. Since 2010, Turkey has shown signs of continuous improvement in defense industry clustering. In parallel with these developments, this study discusses the importance of clustering in the defense industry, briefl y presents the state of the Turkish defense industry as highlighted by national statistics, and presents the current status of defense clusters in Turkey. The novelty of this article consists in its assessment of Turkish defense clusters.
Industrial Foundations as Long‐Term Owners

Short-termism has become a serious concern for businesses and policy makers and this has inspired a search for governance arrangement to promote long term decision making. In this paper we study a particularly long-term ownership structure, which is fairly common in Northern Europe, particularly in Denmark. Industrial foundations are independent legal entities without owners or members typically with the dual objective of preserving the company and using excess profits for charity. We use a unique Danish data set to examine the governance of foundation-owned companies. We show that they are long-term in several respects. Foundations hold on to their shares for longer. Foundation-owned companies replace managers less frequently. They have more conservative capital structures with less leverage. Their companies survive longer. Their business decisions appear to be more long term. This paper supports the hypothesis that time horizons are influenced by ownership structures and particularly that industrial foundations promote longtermism. Policymakers which are interested in promoting longtermism should allow and perhaps even encourage the creation of industrial foundations. More generally they should consider the impact of ownership structure on longtermism.
Quantities, Determinants, and Awareness of Households’ Food Waste in Italy: A Comparison between Diary and Questionnaires Quantities’

Food waste at the household level accounts for a significant share of total food waste in developed economies, according to the Food and Agriculture Organization. Studies have shown that this share varies between 0.3 kg to 4.5 kg per person per week, depending on the definitions and methodologies applied. In Italy, quantities, behaviors, and attitudes regarding food waste have been solely explored through the use of questionnaires, typically leading to discrepant values of food waste. In this study, we estimate and analyse the determinants of food waste over a 388 units’ panel spread over the national territory, through a diary and questionnaire study. Moreover, by comparing food waste value that was declared in questionnaires and reported in diaries, we confirm that the awareness of food waste quantities is heavily biased. The results confirm that the average food waste value is significantly higher when gathered through diaries, while questionnaires are able to catch less than one-third of food waste determinants.
AFC Station Terminal Equipment Based on Embedded System

This paper introduces the characteristic of Automatic Fare Collection(AFC) station equipment in urban railway traffic, analyses the requirement of the Ticket Vending Machine(TVM), and introduces the current design method and the limitation of software. According to the shortcomings, this paper introduces an embedded operating system named ReWorks, presents a blue print designing and developes the software of TVM in urban railway traffic based on ReWorks.
SIP Call-Info Parameters for Labeling Calls

Called parties often wish to decide whether to accept, reject or redirect calls based on the likely nature of the call. For example, they may want to reject unwanted telemarketing or fraudulent calls, but accept emergency alerts from numbers not in their address book. This document describes SIP Call-Info parameters and a feature tag that allow originating, intermediate and terminating SIP entities to label calls as to their type, spam probability and references to additional information.
Sustainable Extraction and Characterisation of Bioactive Compounds from Horse Chestnut Seed Coats for the Development of Bio-Based Additives

Background: To protect renewable packaging materials against autoxidation and decomposition when substituting harmful synthetic stabilizers with bioactive and bio-based compounds, extracts from Aesculus hippocastanum L. seeds were evaluated. The study objectives were to determine the antioxidant efficacy of bioactive compounds in horse chestnut seeds with regard to different seed fractions, improve their extraction, and to evaluate waste reuse. Methods: Different extraction techniques for field samples were evaluated and compared with extracts of industrial waste samples based on total phenolic content and total antioxidant capacity (2,2’-azino-bis(3-ethylbenzthiazoline-6-sulphonic acid) (ABTS)). The molecular weight distribution and absorbance in ultraviolet range (UV) of seed coat extracts were determined, and the possibility of extracts containing proanthocyanidins was examined. Results: Seed coat extracts show a remarkable antioxidant activity and a high UV absorbance. Passive extractions are efficient and much less laborious. Applying waste product seed coats leads to a reduced antioxidant activity, total phenolic content, and UV absorbance compared to the field sample counterparts. In contrast to peeled seed extracts, all seed coat extracts contain proanthocyanidins. Discussion: Seed coats are a potential source of bioactive compounds, particularly regarding sustainable production and waste reuse. With minimum effort, highly bioactive extracts with high potential as additives can be prepared.
The Angel Investor Market In 2014: A Market Correction In Deal Size

Market Size The angel investor market in 2014 had a slight correction in investment dollars and in the deal size. Total investments in 2014 were $24.1 billion, a decrease of 2.8% over 2013, according to the Center for Venture Research at the University of New Hampshire. A total of 73,400 entrepreneurial ventures received angel funding in 2014, an increase of 3.8% over 2013 investments. The number of active investors in 2014 was 316,600 individuals, an increase of 5.9% from 2013. The change in both total dollars and the number of investments resulted in a deal size for 2014 that was smaller than in 2013 (a decrease in deal size of 6.4% from 2013). These data indicate that angels were active investors in 2014 but at decreased valuations than in previous years, indicating a slight market correction in valuations. However, the $24.1 billion is a robust amount and is close to the market high of $26.0 billion that occurred in 2007. Job Growth Angel investments were a significant contributor to job growth with the creation of 264,200 new jobs in the United States in 2014, or 3.6 jobs per angel investment. Valuation The average angel deal size in 2014 was $328,500, a decrease of 6.4% from 2013, and the average equity received was 12.3% with a deal valuation of $2.67 million, down by 4.6% from 2013.