Universal Electric and Magnetic Field Analyzer System

Near-field probing is often used to determine the sources and coupling paths of an electromagnetic interference problem above a printed circuit board or integrated circuits chip. A wideband universal field analyzer was developed in order to measure circularly and linearly polarized magnetic fields and total electric field in a rapid sequence using a single probe design

Diversity of Woodland Communities and Plant Species along an Altitudinal Gradient in the Guancen Mountains, China

Study on plant diversity is the base of woodland conservation. The Guancen Mountains are the northern end of Luliang mountain range in North China. Fifty-three quadrats of 10 m × 20 m of woodland communities were randomly established along an altitudinal gradient. Data for species composition and environmental variables were measured and recorded in each quadrat. To investigate the variation of woodland communities, a Two-Way Indicator Species Analysis (TWINSPAN) and a Canonical Correspondence Analysis (CCA) were conducted, while species diversity indices were used to analyse the relationships between species diversity and environmental variables in this study. The results showed that there were eight communities of woodland vegetation; each of them had their own characteristics in composition, structure, and environment. The variation of woodland communities was significantly related to elevation and also related to slope, slope aspect, and litter thickness. The cumulative percentage variance of species-environment relation for the first three CCA axes was 93.5%. Elevation was revealed as the factor which most influenced community distribution and species diversity. Species diversity was negatively correlated with elevation, slope aspect, and litter thickness, but positively with slope. Species richness and heterogeneity increased first and then decreased but evenness decreased significantly with increasing elevation. Species diversity was correlated with slope, slope aspect, and litter thickness

Orthogonal Loops Probe Design and Characterization for Near-Field Measurement

Near-field probes are often used to measure the electric and magnetic fields above a printed circuit board in order to identify the sources and coupling paths of an electromagnetic interference (EMI) problem. It is the objective of this paper to propose a rapid E-, Hx- Hy- and circular H-fields measurement using an orthogonal loops probe design. The effects of this probe are analyzed using full-wave simulations and measurements

The Management of Debris Flow in Disaster Prevention using an Ontology-based Knowledge Management System

In recently years, the government, academia and business have applied different information technologies to disaster prevention and diverse web sites have been developed. Although these web sites provide a large number of data about disaster-prevention, they are knowledge poor in nature. Furthermore, disaster-prevention is a knowledge-intensive task and a potential knowledge management system can overcome the shortcoming of knowledge poor. On the other hand, ontology design plays the key role toward designing a successful knowledge management system. In this paper, we introduce a three-stage life cycle for ontology design for supporting the service of disaster prevention of debris flow and propose a framework of an ontology-based knowledge management system with the KAON API environment. In addition, by appealing to the technology of component reuse, the system is developed at lower cost thus knowledge workers can focus on the design of ontology and knowledge objects. The objectives of the proposed system is to facilitate knowledge accumulation, knowledge reuse and dissemination for the management of disaster prevention. This work is expected to enable the promotion of the traditional disaster management of debris flow towards the so-called knowledge-driven decision support services

A SMIL-Based Catalog Presentation System in Electronic Commerce

Web-based catalog presentations play the key-enabling role in E-commerce in recent years. Existing catalog systems often acquire proprietary platforms, cannot deal with TV-like media objects, or consume network bandwidth inefficiently. With the emergence of advanced technologies of Web and multimedia, such hurdles can be removed. The Synchronized Multimedia Integration Language (SMIL), proposed by W3C allows Web designers to design complicated and vivid multimedia presentations in a declarative manner. These presentations are then rendered on a general-purpose browser by a SMIL player. Since the SMIL specification is quite new to the Internet and E-commerce societies, the functionality and applications of players is limited. In this paper, we propose a novel architecture based on Java JMF technology for tackling with such constraints. The effectiveness of the proposed system is validated through an experiment on product catalog presentations

A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction

Click-through rate (CTR) prediction is widely used in academia and industry. Most CTR tasks fall into a feature embedding \& feature interaction paradigm, where the accuracy of CTR prediction is mainly improved by designing practical feature interaction structures. However, recent studies have argued that the fixed feature embedding learned only through the embedding layer limits the performance of existing CTR models. Some works apply extra modules on top of the embedding layer to dynamically refine feature representations in different instances, making it effective and easy to integrate with existing CTR methods. Despite the promising results, there is a lack of a systematic review and summarization of this new promising direction on the CTR task. To fill this gap, we comprehensively summarize and define a new module, namely \textbf{feature refinement} (FR) module, that can be applied between feature embedding and interaction layers. We extract 14 FR modules from previous works, including instances where the FR module was proposed but not clearly defined or explained. We fully assess the effectiveness and compatibility of existing FR modules through comprehensive and extensive experiments with over 200 augmented models and over 4,000 runs for more than 15,000 GPU hours. The results offer insightful guidelines for researchers, and all benchmarking code and experimental results are open-sourced. In addition, we present a new architecture of assigning independent FR modules to separate sub-networks for parallel CTR models, as opposed to the conventional method of inserting a shared FR module on top of the embedding layer. Our approach is also supported by comprehensive experiments demonstrating its effectiveness

Investment Strategy Analysis using Support Vector Machines

Investment strategy is the key point of investors who can make profits or otherwise. Investors always focus on their viewpoints subjectively, which may make them fall into the logic puzzle. The purpose of this paper is to integrate the technical analysis of financial markets with an emerging neural network model, Support Vector Machine (SVM), to solve the problem of investment strategy in Taiwan Futures Market (TAIFEX). The evaluation of investment strategy is the most essential task of investment analysis. However, the evaluation is usually time-consuming and laborious for investment experts. An effective and efficient decision support tool could significantly alleviate his/her burden and improve decision quality. The experimental results from a real-case study demonstrate its salient features of generalization and usability compared with original technical analysis

Environmental Quality and Economic Growth: An empirical analysis in Asian countries

This study investigates the relationship between environmental quality and economic growth in Asian countries. The findings from Pooled Mean Group (PMG) estimator affirmed the existence of a long-run relationship between environmental quality and economic development. The higher the economic growth, the higher the CO2 consumption. In the short run, economic growth exacts no harmful impact. Researchers and policymakers should be careful about the effect of economic growth and rising incomes on environmental pollution with the prioritisation of sustainable usage of environmental policy. Investment and consumption of renewable energy that is less harmful to the environment should be focused on minimising environmental pollution. Keywords: environmental quality; economic growth; Asian countries; PMG eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i21.367