Architectural Improvements in IEEE-Compliant Floating-Point Multiplication

Multiplication has long been an important part of any computer architecture. It has usually been a common case for most computer architecture decisions to include in any microarchitecture. However, the difficulty in creating hardware for multiplication because of its inherent shifting of the radix point has been a cogent reason for the need for floating-point hardware in scientific applications. The IEEE 754 floating-point standard was originally ratified in 1985 and later amended in 2008 to make floating-point multiplication easier for users to implement applications. Although floating-point arithmetic creates a mechanism to make things easier for using multiplication, it is complicated both algorithmically and practically for hardware implementations.This dissertation discusses possible architectural improvements in IEEE-compliant floating-point multiplication for Machine Learning/Deep Learning applications. First, a combined IEEE half and single precision floating-point multipliers is proposed to reduce power dissipation for Deep Learning applications. Second, a novel rounding scheme is proposed that is simpler but comparable with the state-of-the-art rounding schemes. Third, an optimized design is proposed that can handle both denormal and normal numbers. Finally, a hybrid precision design is proposed, aiming to improve the power consumption of Machine Learning/Deep Learning applications. Proposed designs are targeted to Machine Learning/Deep Learning applications-specific processors to improve the latency and power consumption. All designs are implemented in RTL-level Verilog, verified for correctness against open-source TestFloat generated test vectors, and synthesized using an ARM 32nm CMOS library for Global Foundries (GF) cmos32soi technology for estimated power, area and delay analysis.Electrical Engineerin

Properties of DMF-fossil gasoline RON95 blends in the consideration as the alternative fuel

The use of endless biomass sources form agricultural by-products for the renewable fuel synthesis has been being considered as the extremely useful works meeting the strict strategies of environment protection. In this work, 2,5-dimethylfuran (DMF) synthesized from available rice straw in Vietnam was mixing with fossil gasoline RON95 to determine and measure the key properties of DMF-gasoline RON95 blends based on corresponding ASTM standards in the consideration as a new alternative fuel for modern gasoline engines. Each 5% volume fraction of DMF was used for mixing purposes to create 21 samples with the change of DMF volume fractions from 0% to 100%. As a result, the linearization of density, octane number, and laten heat of vaporization was conducted; meanwhile, the stoichiometric air/fuel ratio, heating value, and self-ignition temperature of DMF-gasoline RON95 blends were also reported. This work provided the full properties of blends of DMF-gasoline RON95 blends based on experimental results, and of course, achieved results could be used for the next steps to investigate the applicability of DMF-gasoline RON95 blends to practical experiments or simulation studies

Conductivity in Half-filled Ionic Hubbard Model

We calculate the temperature dependent conductivity in the half-filled ionic Hubbard model with an on-site Coulomb repulsion $U$ and an ionic energy $\Delta$ by mean of the coherent potential approximation. It is shown that for intermediate and large $\Delta$ the largest conductivity occurs near the special value $U = 2 \Delta$ at all temperatures $T$, for a fixed $\Delta$ the region of finite conductivity $[U_{c1}, U_{c2}]$ expands and its maximum decreases with increasing $T$. Our results are in good agreement with those derived from the determinant quantum Monte Carlo simulation

Activities of the practice teaching organization and vocational teaching facilities in collaboration between the vocational school and units employing

The aim of this research is to evaluate the current level of preparation in the organization of practical training as well as the facilities that are available for practical vocational training. The collaboration in education between businesses and vocational schools is an effective strategy. As a result of the rapid transformation that has taken place in the socioeconomic context for professional skills and practical training among employees, a new educational strategy is required to address these demands in order to meet the needs of the workforce. A quantitative method was applied in this research. There were 570 individuals who were chosen at random. According to the findings, the majority of instructors and technicians possessed regulations for conducting practical teaching activities as well as suitable facilities and equipment for the purpose of vocational training. This study presents a number of suggestions for improving the standard of educational institutions as well as the professional growth opportunities available to teachers and lecturers. In addition, facility management and maintenance as well as optimize the instructional facilities and equipment are required

Evaluating model teacher education and training at Vietnam's universities of technology and education

The traditional educational paradigm has become outdated as a result of changes in both the cultural and socioeconomic setting. A more sustainable and acceptable teacher is needed in education. A quantitative study was conducted. 95 administrators and teachers at the University of Technology and Education participated in this study with the aim of analyzing the current status of the teacher education model at the institution. According to the findings of the study, the model for educator preparation has been put into practice primarily through the processes of planning, organizing and directing activities related to educator preparation as well as inspecting and assessing the quality of education. The outcomes of the study indicate that it is essential to design educational programs that are appropriate for the present context. In particular, the study suggests that one of the most important steps towards achieving success is to incorporate technology into teaching methods. The process of educating teachers with the right degree of expertise and skills should be emphasized by educators and policymakers by developing relationships with other educational institutions and allowing teachers to participate in internships

VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific tasks or with limited image data distribution for very specific situations, and there is no unified approach to manage and access them across diverse sources, tasks, and taxonomies. This not only creates unnecessary overheads when building robust visual recognition systems, but also introduces biases into learning systems and limits the capabilities of data-centric AI. To address these problems, we propose the Vision Knowledge Graph (VisionKG), a novel resource that interlinks, organizes and manages visual datasets via knowledge graphs and Semantic Web technologies. It can serve as a unified framework facilitating simple access and querying of state-of-the-art visual datasets, regardless of their heterogeneous formats and taxonomies. One of the key differences between our approach and existing methods is that ours is knowledge-based rather than metadatabased. It enhances the enrichment of the semantics at both image and instance levels and offers various data retrieval and exploratory services via SPARQL. VisionKG currently contains 519 million RDF triples that describe approximately 40 million entities, and are accessible at https://vision.semkg.org and through APIs. With the integration of 30 datasets and four popular CV tasks, we demonstrate its usefulness across various scenarios when working with CV pipelines

Pro-poor intervention strategies in irrigated agriculture in Asia: poverty in irrigated agriculture: issues and options: Vietnam

Irrigated farming / Poverty / Farm income / Irrigation management / Institutions / Legal aspects / Water rates / User charges / Participatory management / Privatization / Participatory rural appraisal / Performance indexes / Irrigation programs / Irrigation systems / Pumping / Irrigation canals / Social aspects / Economic aspects / Rivers / Hydrology / Dams / Households / Income / Regression analysis / Drainage / Cooperatives / Water delivery / Water distribution / Rice / Financing / Drought / Vietnam / Red River Delta / Nam Duong Irrigation System / Nam Thach Han Irrigation System / Han River

In silico analysis of hypermethylation in CpGislands of UCHL1 gene’s promoter in nasopharyngeal carcinoma

Background and Objective: The methylation of Ubiquitin C-Terminal Hydrolase L1 (UCHL1) gene has been reported in many human cancers including nasopharyngeal carcinoma (NPC). In Vietnam, the methylation of UCHL1 gene’s promoter in NPC has not been demonstrated yet. In this study, a systematic literature revision was carried out to summarize the current evidences about the frequencies of UCHL-1 gene’s promoter methylation in NPC for further application in Vietnamese population. Methods: A systematic literature analysis was conducted based on the comprehensive studies. Moreover, many bioinformatic tools such as Methprimer, TFsearch, IDT OligoAnalyzer 3.1 were used to predict the CpG islands, transcriptional factors, and to pick up the MSP (Methylation-Specific PCR) primers. Results: Total of three previous studies were summarized and accessed for eligibility from literature research. As the results, the average weight methylated frequencies were 72.4% and 13.0% for NPC and non-cancerous samples, respectively. The significant association between UCHL-1 promoter methylation and NPC with the OR of 10.459 (95% CI = 4.915 – 22.254, p < 0.001) and RR of 4.117 (95% CI = 1.958 – 6.645, p < 0.0001) based on the random effects model, was observed. Moreover, we were successful in predicting the CpG islands as well as identifying transcriptional factor binding sites which served as “hot spot” for ideal primer pick up and located in gene promoter. Conclusion: The methylation of UCHL-1 gene promoter was significantly associated and contributed to NPC developmentin which it could be further applied in evaluation of UCHL-1 gene promoter status in Vietnamese population

Surface-based protein domains retrieval methods from a SHREC2021 challenge

publication dans une revue suite à la communication hal-03467479 (SHREC 2021: surface-based protein domains retrieval)International audienceProteins are essential to nearly all cellular mechanism and the effectors of the cells activities. As such, they often interact through their surface with other proteins or other cellular ligands such as ions or organic molecules. The evolution generates plenty of different proteins, with unique abilities, but also proteins with related functions hence similar 3D surface properties (shape, physico-chemical properties, …). The protein surfaces are therefore of primary importance for their activity. In the present work, we assess the ability of different methods to detect such similarities based on the geometry of the protein surfaces (described as 3D meshes), using either their shape only, or their shape and the electrostatic potential (a biologically relevant property of proteins surface). Five different groups participated in this contest using the shape-only dataset, and one group extended its pre-existing method to handle the electrostatic potential. Our comparative study reveals both the ability of the methods to detect related proteins and their difficulties to distinguish between highly related proteins. Our study allows also to analyze the putative influence of electrostatic information in addition to the one of protein shapes alone. Finally, the discussion permits to expose the results with respect to ones obtained in the previous contests for the extended method. The source codes of each presented method have been made available online