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1ST VAN LANG INTERNATIONAL CONFERENCE ON HERITAGE AND TECHNOLOGY CONFERENCE PROCEEDING, 2021: VanLang-HeriTech, 2021最新文献

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The optimization of radiofrequency assisted heat pump drying of Ganoderma lucidum 灵芝射频辅助热泵干燥的优化
P. Kien, Doan Thanh Son, N. Sáng
This study focused the optimization of radiofrequency (RF) assisted heat pump (HP) drying of Ganoderma lucidum. Response surface methodology (RSM) optimized the levels of three independent variables as the drying air temperature, the drying air velocity, and the RF power to obtain the maximum value of Polysaccharide content and minimum value of drying time. Box–Behnken design (BBD) was employed to evaluate the effects of drying air temperature, drying air velocity and RF power on drying time and Polysaccharide content in Ganoderma lucidum. The optimum predicted drying condition were the drying air temperature of 47°C, the drying air velocity of 1.53 m/s and RF power of 1.61 kW. Under the optimum drying condition, the value of Polysaccharide content and drying time have achieved 9.39 mg/g and 409 minutes. The impact of drying air temperature, drying air velocity and RF power on the drying rate and Polysaccharide content in Ganoderma lucidum after RF-assisted HP drying process was also studied. The drying rate and the Polysaccharide content increased when the drying air temperature and RF power increased, but the drying rate and the Polysaccharide content decreased when the drying air velocity increased.
对灵芝的射频辅助热泵干燥工艺进行了优化研究。响应面法(RSM)对干燥空气温度、干燥空气速度和射频功率三个自变量进行优化,得到多糖含量最大值和干燥时间最小值。采用Box-Behnken设计(BBD)评价干燥空气温度、干燥空气速度和射频功率对灵芝干燥时间和多糖含量的影响。预测的最佳干燥条件为干燥温度47℃,干燥风速1.53 m/s,射频功率1.61 kW。在最佳干燥条件下,多糖含量和干燥时间分别达到9.39 mg/g和409 min。研究了干燥空气温度、干燥空气速度和RF功率对RF辅助HP干燥后灵芝干燥速率和多糖含量的影响。随着干燥空气温度和射频功率的增加,干燥速率和多糖含量增加,但随着干燥空气速度的增加,干燥速率和多糖含量降低。
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引用次数: 1
Assessing technological innovation change on efficiency of top E-commerce site in the US market 技术创新变化对美国市场顶级电子商务网站效率的影响
T. Nguyen, Thanh-Tuan Dang, Tsung-Chieh Zheng, Chia-Nan Wang
The Covid-19 pandemic has fueled the shift towards a more digital world and incremental online shopping behavior changes. It also highlights how decision-makers can leverage the potential of digital transformation in retail and related areas to support business adaption and enhance their competitive ability. This paper measures the top eight e-commerce sites’ technological innovation efficiency in the US market from 2016 to 2019 using the data envelopment analysis (DEA) Malmquist model. The proposed model considers total assets, total equity, portfolio investment, and total liabilities as input factors, while total revenue and net income as output factors. This paper aims to provide comprehensive managerial implications to the e-commerce industry for assessing technological evolution effects with other competitors. The results show that the best performing e-commerce site is DMU2-eBay, followed by DMU4-Target and DMU1-Amazon. In contrast, DMU5-Groupon and DMU7-Costco showed the worst performance during the research periods. The current study assists e-commerce practitioners and investors in determining key performance indicators, aiming for effective strategies, and expediting the industry toward sustainability development.
新冠肺炎大流行推动了人们向数字化世界的转变,也推动了网上购物行为的不断变化。它还强调了决策者如何利用零售及相关领域数字化转型的潜力,以支持业务适应并提高其竞争能力。本文采用数据包络分析(DEA) Malmquist模型,对2016 - 2019年美国市场排名前八的电子商务网站的技术创新效率进行了测量。该模型考虑总资产、总权益、组合投资和总负债为投入因素,总收入和净收入为产出因素。本文旨在为电子商务行业评估与其他竞争者的技术演进效应提供全面的管理启示。结果表明,表现最好的电商网站是DMU2-eBay,其次是DMU4-Target和DMU1-Amazon。相比之下,DMU5-Groupon和DMU7-Costco在研究期间表现最差。本研究有助于电子商务从业者和投资者确定关键绩效指标,制定有效的战略,加快电子商务行业的可持续发展。
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引用次数: 0
Efficient binarizing split learning based deep models for mobile applications 基于移动应用的高效二值化分割学习深度模型
N. D. Pham, Hong Dien Nguyen, Dinh Hoa Dang
Split Neural Network is a state-of-the-art distributed machine learning technique to enable on-device deep learning applications without accessing to local data. Recently, Abuadbba et al. carried out the use of split learning to perform privacy-preserving training for 1D CNN models on ECG medical data. However, the proposed method is limited by the processing ability of resource-constrained devices such as mobile devices. In this paper, we attempt to binarize localized neural networks to reduce computation costs and memory usage that is friendly with hardware. Theoretically analysis and evaluation results show that our method exceeds BNN and almost reaches CNN performance, while significantly reducing memory usage and computation costs on devices. Therefore, on the basis of these results, we have come to the conclusion that binarization is a potential technique for implementing deep learning models on mobile devices.
分裂神经网络是一种最先进的分布式机器学习技术,可以在不访问本地数据的情况下实现设备上的深度学习应用。最近,Abuadbba等人利用分割学习对ECG医疗数据上的1D CNN模型进行了隐私保护训练。然而,该方法受到移动设备等资源受限设备处理能力的限制。在本文中,我们尝试二值化局部神经网络,以减少计算成本和内存使用,并且对硬件友好。理论分析和评估结果表明,我们的方法超过了BNN,几乎达到了CNN的性能,同时显著降低了设备上的内存使用和计算成本。因此,在这些结果的基础上,我们得出结论,二值化是在移动设备上实现深度学习模型的潜在技术。
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引用次数: 1
Folk music in the cultural and religious life of Katu ethnic group in Thua Thien Hue province, Vietnam: A functionalist approach 民间音乐在越南化天顺化省卡图族的文化和宗教生活:一个功能主义的方法
Lam Nguyen Dinh, Hung Ngo Minh, Dinh Luong Khac, Son Quang Van
The Katu ethnic group in Thua Thien Hue province lives mainly in Nam Dong and A Luoi districts. Katu people take great pride in their vivacious unique folk music, including a variety of music forms and a diversity of traditional musical instruments. Folk music is featured significantly in every aspect of their cultural life. Apparently, musical imprint is evident in all cultural practices and activities. Based on functionalist approach and ethnographic research method, this study shows that folk music plays an important role in Katu people’s culture and religion as it has ultimately been a qintessential part of most Katu people’s spiritual life from birth until death. Researching, preserving and promoting folk music of Katu ethnic group in central Vietnam in particular, will contribute tremendously to the contemporary conservation of the people’s vibrant indigenous culture imbued with unique identity.
顺化省的卡图族主要居住在南洞和阿洛伊地区。卡图人以其独特活泼的民族音乐而自豪,包括多种音乐形式和多种传统乐器。民间音乐在他们文化生活的各个方面都占有重要地位。显然,音乐印记在所有的文化实践和活动中都是显而易见的。本研究运用功能主义的研究方法和民族志的研究方法,表明民间音乐在卡图人的文化和宗教中扮演着重要的角色,它最终成为大多数卡图人从出生到死亡的精神生活的重要组成部分。特别是研究、保护和推广越南中部的卡图民族的民间音乐,将对当代保护充满活力和独特身份的土著文化做出巨大贡献。
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引用次数: 0
OCR error correction for Vietnamese handwritten text using neural machine translation 基于神经机器翻译的越南文手写文本OCR纠错
D. Q. Nguyen, A. D. Le, M. N. Phan, P. Kromer, I. Zelinka
OCR post-processing is an important step for improving the quality of OCR output texts. Long short-term memory (LSTM) is a deep learning model, which has wide-range applications in many domains like time series prediction, natural language processing and speech recognition. In this paper, we propose an OCR error correction model using neural machine translation with bidirectional LSTM networks at syllable level. Vietnamese OCR text dataset for the model evaluation is outputted from an OCR engine based on the attention-based encoder-decoder (AED) model taking input of handwritten text in the benchmark database of the ICFHR 2018 Vietnamese online handwritten text recognition competition. The experimental results show that the proposed model helps decrease the word error rate in the OCR output texts of the above AED model by about 2%. The model performance is also discussed and compared to the other baseline methods in the competition.
OCR后处理提高OCR的质量是一个重要的一步输出文本。长短期记忆(LSTM)是一种深度学习模型,在时间序列预测、自然语言处理和语音识别等领域有着广泛的应用。本文提出了一种基于神经机器翻译的音节级双向LSTM网络OCR纠错模型。用于模型评估的越南语OCR文本数据集由OCR引擎输出,该OCR引擎基于基于注意力的编码器-解码器(AED)模型,该模型以ICFHR 2018越南语在线手写文本识别竞赛基准数据库中的手写文本输入为基础。实验结果表明,该模型将上述AED模型OCR输出文本中的单词错误率降低了约2%。本文还讨论了模型的性能,并与其他基准方法进行了比较。
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引用次数: 2
Power energy generation fuel cost optimization for thermal power plants using different type of fuels 火电厂使用不同类型燃料发电燃料成本优化
K. Do, V. B. Nguyen, T. S. Doan, H. S. Le, V. Phan
This paper proposes an improved Particle Swarm optimization based on constriction factor, inertia weight factor and Cauchy distribution for power energy generation fuel cost optimization for thermal power plants using different type of fuels. The method is also compared to other versions of Particle Swarm Optimization (PSO) including original PSO and PSO based on the combination of constriction and inertia weight factors. A system with ten thermal unit systems using three fuel types is used as the main test case for investigating the performance of the proposed method. Two load levels with 2400 MW and 2500 MW are used to calculate the used power energy generation fuel cost of the three PSO methods. In addition, the proposed method is also compared to previous methods shown in the literature for conclusion of the real performance. As a result, the proposed PSO method outperforms two other PSO method and other previous methods about reaching smaller power energy generation cost and having a stronger search ability. Thus, it concludes that Cauchy distribution is very useful for PSO and it can be used for other optimization problems in power systems.
本文提出了一种基于收缩因子、惯性权重因子和柯西分布的改进粒子群算法,用于火电厂不同燃料类型的发电燃料成本优化。并将该方法与其他版本的粒子群优化算法进行了比较,包括原始粒子群优化算法和基于收缩和惯性权重因子组合的粒子群优化算法。一个系统有十个热单元系统,使用三种燃料类型作为主要的测试案例来研究所提出的方法的性能。采用2400 MW和2500 MW两个负荷水平计算了三种粒子群算法的用能发电燃料成本。此外,本文还将所提出的方法与文献中所示的方法进行了比较,得出了真实性能的结论。结果表明,该方法在发电成本更小、搜索能力更强等方面优于其他两种PSO方法和其他方法。由此得出结论:柯西分布对于粒子群算法是非常有用的,也可以用于电力系统的其他优化问题。
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引用次数: 0
Detection and mitigation system for shading-induced hot spots in household crystalline silicon photovoltaic modules 家用晶体硅光伏组件遮阳诱发热点检测与缓解系统
Wilen Melsedec O. Narvios, Y. Nguyen
Hot spots have been a significant problem for photovoltaic (PV) installations until the present. Hot spots reduce the power production performance and speed up cell degradation of the PV system. Hot spotting is a reliability problem where mismatched cells heat up due to the reverse biasing of these cells and cause permanent damage to the PV panel. Hot spot occurrences are due to several factors such as shading, panel defect, electrical characteristics mismatching, and bypass diode failures. Bypass diodes are used as a protective device to reduce the severity of cell mismatching, particularly the effect of overcurrent per cell, but these can sometimes be inefficient for hot spot prevention. Through a camera and an IR thermal sensor, the hot spot detection technology implementation is possible with an Arduino-based program of which the results of the hot-spotted (affected strings or cells) are analyzed using Simulink. Furthermore, to mitigate the effect of hot-spotting in the cells, a modified transistor circuit is configured to carry the excess currents running in the cells due to overcurrent (OC). The solutions presented have considerably improved the performance and power output of the solar panels studied through the system’s corrective actions. It has been observed that there was an increase in the attention given to the solar panels by having been able to check which part of the panel’s cells were affected by hot spots as well. The proposed system design can be used in households that rely moderately on photovoltaic systems for energization.
到目前为止,热点一直是光伏(PV)安装的重要问题。热点降低了发电性能,加速了光伏系统的电池退化。热点是一个可靠性问题,当不匹配的电池由于这些电池的反向偏置而升温时,会对光伏板造成永久性损坏。热点的发生是由于几个因素,如阴影,面板缺陷,电气特性不匹配,旁路二极管故障。旁路二极管被用作一种保护装置,以减少电池错配的严重程度,特别是每个电池的过电流的影响,但这些有时可能是低效的热点预防。通过摄像头和红外热传感器,可以使用基于arduino的程序实现热点检测技术,该程序使用Simulink分析热点(受影响的字符串或细胞)的结果。此外,为了减轻电池中热点的影响,改进的晶体管电路被配置为携带由于过流(OC)而在电池中运行的过量电流。通过系统的纠正措施,所提出的解决方案大大提高了太阳能电池板的性能和功率输出。据观察,由于能够检查太阳能电池板的电池的哪一部分也受到热点的影响,人们对太阳能电池板的关注有所增加。所提出的系统设计可用于适度依赖光伏系统供电的家庭。
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引用次数: 1
Effects of suction flow on the performance of a solar chimney 吸力流动对太阳能烟囱性能的影响
Y. Nguyen, T. N. Huynh
Solar chimney has been applied on various aspects of building physics and green design. It makes natural ventilation based on stack effect from absorbing solar radiation. A Computational Fluid Dynamics (CFD) method has been widely utilized to model the heat transfer and air flow inside the chimney. The appearance of reverse flow is one of the elements affecting induced results from CFD models. In this study, we examined influences of the suction flow to suppress the reverse flow at the outlet of the air channel. The suction height, suction width and the velocity of the exhaust fan were investigated. The induced flow rate and temperature rise of the chimney were compared to the base case, which has no suction flow. It is observed that the ratio of Qsc and Qbase, which are the induced flow rate at the outlet of the chimney which has exhaust fan and induced flow rate of the base case, respectively, increases with the width, w, and the height above the inlet, h, of the suction port then gradually approaches a constant of about 1.25 when w and h are higher than 0.02 m and 0.15 m correspondingly. Additionally, one advantage of the suggested solution is to lower the noise from the fan to the room.
太阳能烟囱已经应用于建筑物理和绿色设计的各个方面。利用吸收太阳辐射产生的烟囱效应进行自然通风。计算流体力学(CFD)方法被广泛应用于烟囱内部的传热和气流模拟。逆流动的出现是影响CFD模型诱导结果的因素之一。在这项研究中,我们研究了吸入流对抑制空气通道出口逆流的影响。研究了抽气高度、抽气宽度和抽气速度。对无吸力流条件下烟囱的诱导流量和温升进行了比较。可以观察到,带排风机烟囱出口诱导流量Qsc和基箱诱导流量Qsc的比值随进气道宽度w和进气道高度h的增大而增大,当w和h分别高于0.02 m和0.15 m时,分别逐渐趋近于1.25左右的常数。此外,建议的解决方案的一个优点是降低从风扇到房间的噪音。
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引用次数: 0
The connection between digital packaging and Vietnamese culture 数字包装与越南文化之间的联系
N. Huyen
Increasing customer experience and emotions through product interactions, exposure and testing through multi-dimensional visual effects are what digital packaging is all about. It could be videos, 3D images, animated characters combined with the product, beautiful effects, product details, or it could be an interesting mini game for consumers etc. Because of the excitement through product interactions, nowadays modern graphic design in Vietnam, especially packaging design use Augmented Reality (AR) into the design and digital packaging has been received good feedback from consumers. So how can the digital packaging convey Vietnamese cultural values into the packaging design? This article is going to research and analyze through current digital packaging to discuss, initially identify the successes and limitations of applying digital packaging. At the same time, it will point out the trend of combining digital packaging and ethnic culture, towards solutions to create its own mark and bring national cultural identity of Vietnam’s packaging design in the current period and in the future.
通过产品互动、曝光和多维视觉效果测试来增加客户体验和情感是数字包装的全部内容。它可以是视频、3D图像、与产品相结合的动画人物、美丽的效果、产品细节,也可以是面向消费者的有趣迷你游戏等。由于产品互动带来的兴奋,如今越南的现代平面设计,特别是包装设计将增强现实(AR)融入到设计和数字包装中,得到了消费者的良好反馈。那么,数字化包装如何将越南文化价值传达到包装设计中呢?本文将通过研究和分析目前的数字包装来讨论,初步确定应用数字包装的成功和局限性。同时指出数字包装与民族文化相结合的趋势,为当前和未来越南包装设计创造自己的标志,带来民族文化认同的解决方案。
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引用次数: 0
Urban art environment improvement in Ho Chi Minh City 胡志明市城市艺术环境改善
Do Lenh Hung Tu, P. H. Cong, Phung Ba Dong
For Ho Chi Minh City to become a civilized, clean, green city and a “worth living” environment, it is necessary to have the combined interaction of urban art in the master plan, combining many rich languages. Other visual arts have the effect of stimulating, connecting, increasing the existing and sustainable aesthetic values. Public art shaping is the process of interaction between art artists, engineers, architects, designers in all art fields (painting, sculpture, art. application, architecture, planning, environmental landscape design, music, lighting art), and need attention from all levels of leadership and urban management; sponsors; appraisal agencies, construction team, and each resident and tourists with a high sense of responsibility with humanistic and aesthetic values, harmony between material and spirit.
胡志明市要成为文明、清洁、绿色的城市和“值得居住”的环境,就需要在总体规划中有城市艺术的组合互动,结合多种丰富的语言。其他视觉艺术具有刺激、连接、增加现有的和可持续的审美价值的作用。公共艺术塑造是艺术艺术家、工程师、建筑师、设计师在各个艺术领域(绘画、雕塑、艺术)相互作用的过程。应用、建筑、规划、环境景观设计、音乐、灯光艺术),需要各级领导和城市管理部门的重视;赞助商;鉴定机构、施工队伍以及每一位居民和游客都具有高度的人文和审美价值责任感,物质与精神和谐相处。
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引用次数: 0
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1ST VAN LANG INTERNATIONAL CONFERENCE ON HERITAGE AND TECHNOLOGY CONFERENCE PROCEEDING, 2021: VanLang-HeriTech, 2021
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