Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function

This paper presents a comprehensive analysis of motor bearing fault detection (MBFD), which involves the task of identifying faults in a motor bearing based on its vibration. To this end, we first propose and evaluate various machine learning based systems for the MBFD task. Furthermore, we propose three deep learning based systems for the MBFD task, each of which explores one of the following training strategies: supervised learning, semi-supervised learning, and unsupervised learning. The proposed machine learning based systems and deep learning based systems are evaluated, compared, and then they are used to identify the best model for the MBFD task. We conducted extensive experiments on various benchmark datasets of motor bearing faults, including those from the American Society for Mechanical Failure Prevention Technology (MFPT), Case Western Reserve University Bearing Center (CWRU), and the Condition Monitoring of Bearing Damage in Electromechanical Drive Systems from Paderborn University (PU). The experimental results on different datasets highlight two main contributions of this study. First, we prove that deep learning based systems are more effective than machine learning based systems for the MBFD task. Second, we achieve a robust and general deep learning based system with a novel loss function for the MBFD task on several benchmark datasets, demonstrating its potential for real-life MBFD applications

An adaptive approach to P2P resource discovery in distributed scientific research communities

Resource discovery in a distributed environment is always a challenging issue. It is even more difficult to provide an efficient query routing mechanism while still able to support complex query processing in a decentralised P2P environment. This paper presents an adaptive approach to P2P resource discovery. It separates the routing of queries from query matching mechanism so that an effective combination could be explored. Three properties of scientific research communities provide the grounding for the method: the existence of common interest groups, the willingness to share resources of common interests and the transitive relationship in the sharing behaviour. By exploiting these properties, search queries can be efficiently forwarded to those who are more likely to have the answers to improve the quality of search results and to reduce the network traffic. Experimental results have provided some evidence to confirm the efficiency of this adaptive approach

Local governance and occupational choice among young people: First evidence from Vietnam

Using data from the School-to-Work Transition Surveys 2015 (SWTS 2015), the Enterprise Census data in 2014 (ECD 2014), and the Provincial Competitiveness Index 2014 (PCI 2014), this paper examines for the first time the effect of individual and family characteristics, firm agglomeration, and the quality of labour training (provided by provincial governments) on occupational choice among young people in Vietnam. Interestingly, we find that women are more likely than men to have better jobs, even after controlling for all other variables in the models. Higher levels of education were the most important factor in choosing non-manual jobs, while family background (as measured by the father’s occupation) plays a significant role in explaining young people’s occupational choice. More importantly, it was found that the quality of labour training increases young people’s chances of gaining better jobs. In addition, living in urban areas, the provincial GDP per capita, and firm agglomeration were also found to improve the probability of youth choosing better jobs

Challenges And Opportunities For The Development Of Infrastructure After ‘Oda Graduation’ - Moving Towards Sustainable Development: Case Study Of Vietnam

The research on ODA will be focused on its relation to Goal 17, the Partnership, considered a major issue by the researchers, especially in the case of Vietnam as a developing economy. ODA was mainly used for investing in economic infrastructure when Vietnam witnessed a downfall in receiving financial aid due to its significant economic growth. ODA helped Vietnam transform from one of the world’s poorest nations into a lower middle-income country and soon, this is going to lead to the ‘ODA Graduation’. However, the process has just begun. The country is still in a process of industrialization and modernization and its socio-economic situation has not been stable or solid. By all means, ODA is not only a financial resource, it also helps the country to accomplish Sustainable Development Goals (SDGs) of the UN. ‘ODA Graduation’ means that the economy of Vietnam has faced certain challenges such as increasing pressure of outbound debts; raising impact on social development or imbalance between high capital recovery investments and public-services investments. However, ‘ODA Graduation’ has brought certain opportunities such as increasing Vietnam’s independence in capital mobilization, preventing the removal of tariffs barrier, reducing losses and waste of funds. This research gives recommendations for improving Vietnam’s economic situation and can help overcome the difficulties in the period of ‘ODA Graduation’

Challenges And Opportunities For The Development Of Infrastructure After ‘Oda Graduation’ - Moving Towards Sustainable Development: Case Study Of Vietnam

The research on ODA will be focused on its relation to Goal 17, the Partnership, considered a major issue by the researchers, especially in the case of Vietnam as a developing economy. ODA was mainly used for investing in economic infrastructure when Vietnam witnessed a downfall in receiving financial aid due to its significant economic growth. ODA helped Vietnam transform from one of the world’s poorest nations into a lower middle-income country and soon, this is going to lead to the ‘ODA Graduation’. However, the process has just begun. The country is still in a process of industrialization and modernization and its socio-economic situation has not been stable or solid. By all means, ODA is not only a financial resource, it also helps the country to accomplish Sustainable Development Goals (SDGs) of the UN. ‘ODA Graduation’ means that the economy of Vietnam has faced certain challenges such as increasing pressure of outbound debts; raising impact on social development or imbalance between high capital recovery investments and public-services investments. However, ‘ODA Graduation’ has brought certain opportunities such as increasing Vietnam’s independence in capital mobilization, preventing the removal of tariffs barrier, reducing losses and waste of funds. This research gives recommendations for improving Vietnam’s economic situation and can help overcome the difficulties in the period of ‘ODA Graduation’

A Study on Employment for Rural Laborers in the Process of Industrialization and Modernization of Vietnam

Employment and job creation are global socio-economic issues and concern every country in the world and Vietnam is no exception. Today, the concept of development is comprehensively understood and economic growth is associated with progress, social justice, poverty reduction, on the basis of creating sustainable jobs for workers. At different times, employments for workers also have different characteristics. In the dimension of this study, employment for rural laborers with the case study of Nam Dinh of Vietnam have been investigated, then some recommendations are proposed for creating more jobs for rural people. Keywords: Employment, job creation, rural employment, rural labor. DOI: 10.7176/EJBM/12-21-13 Publication date:July 31st 202

Trademark Valuation According to Laws and Regulations in Vietnam

Pricing and valuation may be confusingly interchangeable in various industries from manufacturing to commerce etc.. However, they are in fact different. Pricing can be simply understood as a process whereby the price is set by a seller or by an agreement between a seller and a buyer. On contrary, valuation analysis is normally conducted by experts. So, trademark valuation is a process whereby a trademark value is determined by means of diligent research, unbiased judgment, and some pretty simple arithmetic. In this study, we point out the drawbacks and obstacles in pricing in trademark transfer in our country in comparison with other countries/regions and then we will suggest some measures to improve the regime for pricing in trademark transfer in Vietnam. Authors also present Some Basic Concepts Related to Pricing And Valuation Of Trademark and valuation methods. Authors also use a construction case of LICOGI (general company in construction and infrastructure in Vietnam) as reference for pricing issues. Last but not least, in this study we could resolve some controversial issues in trademark pricing and transfer in various companies from production, manufacturing to construction, real estate and commerce sectors in developing countries such as Vietnam, at least from definitions, concepts and legal framework.Keywords: Intellectual Property Assets; Trademark Pricing Services; Law; Valuation Method; Vietnam Penilaian Merek Dagang Menurut Undang-Undang dan Peraturan di Vietnam Abstrak Penetapan harga dan penilaian mungkin membingungkan dan dapat dipertukarkan di berbagai industri mulai dari manufaktur hingga perdagangan, dll. Namun, sebenarnya keduanya berbeda. Penetapan harga secara sederhana dapat dipahami sebagai proses di mana harga ditetapkan oleh penjual atau dengan kesepakatan antara penjual dan pembeli. Sebaliknya, analisis penilaian biasanya dilakukan oleh para ahli. Jadi, penilaian merek dagang adalah proses di mana nilai merek dagang ditentukan melalui penelitian yang rajin, penilaian yang tidak bias, dan beberapa aritmatika yang cukup sederhana. Dalam studi ini, kami menunjukkan kelemahan dan hambatan dalam penetapan harga dalam transfer merek dagang di negara kami dibandingkan dengan negara/kawasan lain dan kemudian kami akan menyarankan beberapa langkah untuk meningkatkan rezim penetapan harga dalam transfer merek dagang di Vietnam. Penulis juga menyajikan Beberapa Konsep Dasar Terkait Penetapan Harga Dan Penilaian Merek Dagang dan metode penilaian. Penulis juga menggunakan kasus konstruksi LICOGI (perusahaan umum dalam konstruksi dan infrastruktur di Vietnam) sebagai referensi untuk masalah harga. Last but not least, dalam penelitian ini kita dapat menyelesaikan beberapa masalah kontroversial dalam penetapan harga dan transfer merek dagang di berbagai perusahaan mulai dari produksi, manufaktur hingga konstruksi, real estat dan sektor perdagangan di negara-negara berkembang seperti Vietnam, setidaknya dari definisi, konsep dan kerangka hukum. .Kata kunci: Aset Kekayaan Intelektual; Layanan Penetapan Harga Merek Dagang; Hukum; Metode Penilaian; VietnamОценка товарного знака в соответствии с законами и правилами Вьетнама АннотацияЦенообразование и оценка могут быть ошибочно взаимозаменяемы в различных отраслях, от производства до торговли, и т. д. Однако на самом деле это разные понятия. Ценообразование может быть просто понято как процесс, посредством которого цена устанавливается продавцом или соглашением между продавцом и покупателем. Напротив, оценочный анализ обычно проводится экспертами. Таким образом, оценка товарного знака — это процесс, в ходе которого стоимость товарного знака определяется посредством тщательного исследования, беспристрастного суждения и некоторых довольно простых арифметических действий. В этом исследовании мы указываем на недостатки и препятствия в ценообразовании при передаче товарных знаков в нашей стране по сравнению с другими странами/регионами, а затем предлагаем некоторые меры по улучшению режима ценообразования при передаче товарных знаков во Вьетнаме. Авторы также представляют некоторые основные концепции, связанные с ценообразованием и оценкой товарных знаков, и методы оценки. Авторы также используют случай строительства LICOGI (генеральная компания в области строительства и инфраструктуры во Вьетнаме) в качестве справочного материала по вопросам ценообразования. И последнее, но не менее важное: в этом исследовании мы смогли решить некоторые спорные вопросы, связанные с ценообразованием и передачей товарных знаков в различных компаниях из производственного сектора, изготовления в сектор строительства, недвижимости и торговли в развивающихся странах, таких как Вьетнам, по крайней мере, в отношении определений, концепций и правовой базы.Ключевые слова: Активы интеллектуальной собственности; Услуги по ценообразованию товарных знаков; Закон; Метод оценки; Вьетна

NetFPGA Based OpenFlow Switch Extension for Energy Saving in Data Centers

The increasing demand for data centers in both scale and size has led to huge energy consumption. The cost and environmental impact of data centers increases due to large amounts of carbon emissions. One solution to this problem is to intelligently control the power consumption of switches used in data centers. This paper proposes an extension to OpenFlow switches to support different power saving modes. The extension includes defining new messages in the OpenFlow protocol stack and designing an OpenFlow Switch Controller (OSC) that is able to turn on/off switches and disable/enable ports. To prove the soundness of the proposed extension, the functions of an OSC has been integrated in a NetFPGA based OpenFlow switch used in the ECODANE framework. The results presented in this paper can also be used by the OpenFlow compliant switches manufacturer or by power aware research community

Driver Attention Tracking and Analysis

We propose a novel method to estimate a driver's points-of-gaze using a pair of ordinary cameras mounted on the windshield and dashboard of a car. This is a challenging problem due to the dynamics of traffic environments with 3D scenes of unknown depths. This problem is further complicated by the volatile distance between the driver and the camera system. To tackle these challenges, we develop a novel convolutional network that simultaneously analyzes the image of the scene and the image of the driver's face. This network has a camera calibration module that can compute an embedding vector that represents the spatial configuration between the driver and the camera system. This calibration module improves the overall network's performance, which can be jointly trained end to end. We also address the lack of annotated data for training and evaluation by introducing a large-scale driving dataset with point-of-gaze annotations. This is an in situ dataset of real driving sessions in an urban city, containing synchronized images of the driving scene as well as the face and gaze of the driver. Experiments on this dataset show that the proposed method outperforms various baseline methods, having the mean prediction error of 29.69 pixels, which is relatively small compared to the $1280{\times}720$ resolution of the scene camera