Miracle-dz/UniFAR-FTUs huggingface dataset:
Similarity search with multimodal data

Similarity search systems are designed to help people to organize multimedia non-text data and find valuable information. The multimedia data intrinsically has multiple modalities (e.g., visual and audio features from video clips) which can be exploited to construct better search systems. Traditionally, various integration techniques have been used to aggregate multiple modalities. However, such algorithms do not scale well for large datasets. As the multimedia data grows, it is a challenge to build a search system to handle large-scale multimodal data efficiently and provide users with information they need. The goal of this dissertation is to study how to effectively combine multiple modalities to implement similarity search systems for large datasets. I have carried out my study through three similarity search systems each designed for different application. Each system combines multiple modalities to help users find desired information quickly. With VFerret system, I studied how to combine visual features with audio features for effective personal video search. With Image Spam Detection System, I explored several aggregation methods to integrate multiple image spam filters to detect image spams. With my Product Navigation System, I studied how to combine text search with image similarity search to help user find desired products. This thesis has also studied a rank-based model which helps system designers to construct more efficient large-scale multimodal similarity search systems. Although the general solution to using multimodal data in a similarity search system is still unknown, this dissertation shows that it is possible to substantially improve search accuracy and efficiency by leveraging domain specific knowledge of multimodal data. The VFerret system improves search accuracy from an average precision of 0.66 to 0.79 by combining visual and audio features. The Image Spam Detection System significantly lowers the false positive rate from a previous result of 1% to 0.001% while maintaining comparable detection rates by combining multiple image filters intelligently. My Product Navigation System reduces number of user clicks by 60% compared to traditional systems through a new method of combining text search with image similarity search. These results support further adoption and study of multimodal data in similarity search system designs.
As(V) Adsorption Kinetics of Humic Acid-Coated Magnetite Particles

The discharge of arsenic (As) ions into water is a serious issue which needs to be curbed effectively due to the hazards of As exposure. Hence, a simple, cheap and effective removal procedure is required in order to meet water quality standards. In this research, magnetite (Fe3O4) particles coated with humic acid were investigated for its efficacy in adsorbing As. The particles were synthesised by varying the temperature (70, 80 and 90°C) and concentration of humic acid (1%, 2% and 3%) to study the corresponding changes in terms of size, structure and As adsorption performance. The phase and size were characterised with X-ray Diffraction and Dynamic Light Scattering technique, respectively. The performance of the synthesised particles in removing As (V) was quantitatively analysed using the colorimetric method with the assistance of a double-beam Ultraviolet-Visible Spectrophotometry. XRD analysis confirms the formation of magnetite while samples coated with 2% and 3% humic acid exhibited less crystallised structures. From the DLS analysis, Fe3O4 was found to have an average size of 2238nm while humic acid coated-Fe3O4 had increased particle sizes of between 2400nm to 3712nm. All the synthesised magnetite particles were able to remove certain percentages of As (V) from water. The highest adsorption capacity obtained was 1.984 mg/g and the lowest was 1.376 mg/g for a contact times of 40 minutes and 20 minutes, respectively.
Condition Monitoring the Health Status of Forced Air Cooling System Using the Natural Frequency of Thermal Network

The forced air cooling system plays an important role in the safe operation of power converters. Condition monitoring its health status can improve the reliability of power converter and reduce the cost of unscheduled maintenance due to over-heating. This letter proposed to use the natural frequency of thermal network as an indicator to monitor the aging process of cooling system. We show that the degradation of the cooling system can be monitored by detecting the variation of thermal network natural frequency. Experimental tests on a three-phase dc/ac converter with forced air cooling system are performed to verify the effectiveness of proposed method. This method is simple to implement and does not need to measure the power loss. Moreover, it enables the concurrent monitoring of multiple components in the cooling system.
Digital Literacies Go to School: A Cross-Case Analysis of the Literacy Practices Used in a Classroom-Based Social Network Site

ABSTRACT The authors, working from a new literacies studies perspective, suggest that educators can better teach their students if they develop their own knowledge of the purposes, types, and language conventions students use in their informal out-of-school literacy practices. The purpose of this study was to identify the literacy practices used in a classroom-based social network site and determine how these practices reflect digital literacies. By connecting differences in the literacy practices of three fifth-grade girls to the instructional moves made by classroom teachers, the authors were able to identify and describe how classroom teachers unintentionally marginalized the kinds of digital literacies that are valued in the larger society. Findings point to the importance of creating online identities for establishing relationships in a social networking site and a need for teachers to model ways to shift language use when engaging in different writing contexts.
ISO/IEC 9126-2 메트릭을 활용한 소프트웨어 정량적 평가 지표 도출

Purpose: Many domestic companies have to make out quantitative evaluation table in their proposal when they conduct the software R&D project. However, most of companies have a difficulty to select the evaluation items and criteria, also to derive a quantitative results. Therefore, we propose a method to derive the quantitative evaluation index by utilizing the ISO/IEC 9126-2. Methods: Analyzing ISO/IEC 9126-2, and we classify the quality metrics as high-classification and sub-classification for Web/App software, Embedded software and Installation software. Next, Conduct the metrics selection survey depending on importance and necessity. Then, carry out the case study. Verify the correspondence between evaluation items and criteria from original suggestion of company and from outcome by utilizing the ISO/IEC 9126-2 quality metrics. Results: It is possible to classify into two metrics, one for common software or one another for only special software. Furthermore, there is quality metrics that is more important and more necessary depending upon characteristics of the software. Conclusion: ISO/IEC 9126-2 quality metrics can be used to make an evaluation items and criteria for quantitative evaluation table of software product.
Metal–Organic Frameworks Toward Electrocatalytic Applications

Metal–organic frameworks (MOFs) are a class of porous materials constructed from metal-rich inorganic nodes and organic linkers. Because of their regular porosity in microporous or mesoporous scale and periodic intra-framework functionality, three-dimensional array of high-density and well-separated active sites can be built in various MOFs; such characteristics render MOFs attractive porous supports for a range of catalytic applications. Furthermore, the electrochemically addressable thin films of such MOF materials are reasonably considered as attractive candidates for electrocatalysis and relevant applications. Although it still constitutes an emerging subfield, the use of MOFs and relevant materials for electrocatalytic applications has attracted much attention in recent years. In this review, we aim to focus on the limitations and commonly seen issues for utilizing MOFs in electrocatalysis and the strategies to overcome these challenges. The research efforts on utilizing MOFs in a range of electrocatalytic applications are also highlighted.
Quasi-Lumped Element Implementation of a Wide-Band Dual-Band Filter Based on Reactance Transformations

The synthesis and design of a quasi-lumped element dual-band filter is presented for a radiometry application. Band 1 is from 0.45 to 0.86GHz and band 2 from 1.24 to 1.75GHz. The filter circuit model has no theoretical bandwidth limitation and is implemented on multilayer substrate. Controlled suppression between the two bands is demonstrated. Agreement between simulation and measurement confirms the feasibility of the design method. The effect of dominant parasitic elements in the quasi-lumped element implementations is detailed.
Dynamic Linear Predictive Optimization of Flexible Robot Profiling MFA Model

As the airbag of a flexible robot is affected by external environmental factors during the profiling process, there are many uncertainties in the process of deformation of the airbag. For this reason, the general nonlinear control strategy cannot obtain an accurate data model. In this paper, a flexible robot profiling MFA (Model-Free Adaptive) model based on adaptive predictive dynamic linear optimization is proposed. Firstly, the real-time thickness of the airbag is obtained through edge detection by using the image processing algorithm. Secondly, the airbag aerodynamic model is constructed by visual servo control strategy. Then, a nonlinear control system based on model-free adaptive control is established. Thirdly, the weighting factor is used to limit the variation range of the input quantity, and the deviation of the actual value and the expected value is corrected by the adaptive prediction mechanism. Finally, the servo control the airbag is completed. The experimental results show that the improved model proposed in this paper solves the overshoot phenomenon of the standard control model with less control error and higher robustness.
Evaluation of Combining Data-Driven Dependency Parsers for Arabic

In recent years, there has been a considerable interest in dependency parsing for many reasons. First, dependency-based syntactic representations seem to be effective in many areas of NLP, such as machine translation, question answering, and relation extraction, thanks to their transparent encoding of predicate-argument structure. Second, dependency parsing is flexible for free word order languages (e.g. Arabic and Czech). Third, and most importantly, the dependency-based approach has led to the development of fast robust reasonably accurate syntactic parsers for a number of languages. In this paper, we investigate the technique of combining multiple data-driven dependency parsers for parsing Arabic. Arabic has a number of characteristics, which will be described through the paper, that make parsing it challenging. Experimental results show that combined parsers can produce more accurate results, even for imperfectly tagged text, than each parser produces by itself for texts with the gold-standard tags.
Compact Dual-Band Microstrip Patch Array Antenna for MIMO 4G LTE and WLAN Systems

In this paper, a compact dual-band microstrip patch array antenna for both the MIMO 4G LTE and the WLAN systems is developed. Design simulation and optimization processes are carried out with the aid of the Advanced Design System (ADS) electromagnetic simulator that uses the full–wave Method of Moment (MoM) numerical technique [1]. The losses that are caused by both the substrate and metallization are taken into account during the simulation process. Array compactness was our target during the design process to integrate the array with the new mobile communication equipments.
E-nose and E-tongue : an Analytical Tool for Quality Control and Management in the Pet Food Industry

In pet food production, the development of new products must take into account both nutritional and palatability aspects. Pet food palatability is related to the pet food sensory properties, such as aroma, flavour, texture shape, and particle size. The pet food industry may take advantage of a sensorial analysis as a powerful tool for quality control and management. The objective of this idea is to set up an electronic nose (e-nose) and tongue (e-tongue) as rapid quality control and research & development tools for the pet food industry. The final goal is to integrate e-nose and e-tongue with other sensing and imaging devices to 1) Ensure high pet food standards in terms of nutritional properties, palatability and acceptability; 2) Set up an instrumental protocol with good correlation to animal sensory properties in order to replace animal preference test, chemical and texture analysis.
Beyond the ostensible: an exploration of barriers to lean implementation and sustainability in healthcare

Abstract The barriers to implement lean have been well researched and have generated consistent results; this study identifies these as ostensible barriers. There is a dearth of research that focuses on understanding the causes of these ostensible barriers. Thus, this study aims to empirically investigate the deeper causes that produce ostensible barriers to implement lean in emergency areas of healthcare. To achieve this aim, the paper draws on rich, qualitative data from four different sources of data, using exploratory case studies as the main approach. Undertaking thematic analysis, six main underlying barriers emerge as the root cause of ostensible barriers. The results suggest that addressing each of the underlying barriers in healthcare is likely to support lean implementation and sustainability, by reducing the impact of restraining forces that come from stakeholders and the public healthcare system.
A Simplified Method of Detecting Spot Surface Defects by using Quasi-3D Data from a Conventional Road Profiler

It is important to maintain safety and ride quality for toll expressway users in Japan. However, since porous asphalt became the standard road surface, spot defects have gradually spread nationwide. To deal with the problem, this research attempted to develop a less costly but effective way of identifying surface defects. Since transverse data for rutting measurement was the only basic data available for general road profilers, first, quasi-three-dimensional (3D) profile data was successfully obtained by deleting gradient effects on the profiles in both the transverse and longitudinal directions. Among other elements, the standard deviation (SD) of the quasi-3D profile height using spot defect size was best matched for identifying spot defects, including pumping of underlying layer materials of the pavement. To improve the efficiency of detecting spot surface defects, deep learning was examined by converting the SD values into visual images. As a result, it was verified that a simplified classification with basic color information of red, green, and blue gave practically the same engineering judgement. Finally, this method of identifying irregularly emerging target defects using deep learning was validated by relearning the target visuals. A good result with high accuracy was achieved with just 150 images for each defect level. This approach may be universally applied anywhere surface profilers are used.
Service Recommendation Using Rating Inference Approach

There is large amount of information available on World Wide Web. But all information is not relevant to a particular user. So this is the place where recommender system is useful. Recommender system guides the user. But traditional recommender systems has some limitations. So, to overcome this limitations we are using a hybrid algorithm which gives accurate result. Which combines the collaborative filtering with sentimental analysis. Therefore, implementing the algorithm distributed will reduce the required computing time. Apache Hadoop is an open-source distributed computing framework that can be composed of a large number of low-cost hardware to run the application on a cluster. It provides applications with a set of stable and reliable interface, Use of single recommended method is difficult to meet the demand of a large amount of data and accuracy requirements.
Thermal Fatigue Modelling and Simulation of Flip Chip Component Solder Joints under Cyclic Thermal Loading

Thermal Fatigue of flip chip component solder joints is widely existing in thermal energy systems, which imposes a great challenge to operational safety. In order to investigate the influential factors, this paper develops a model to analyze thermal fatigue, based on the Darveaux energy method. Under cyclic thermal loading, a theoretical heat transfer and thermal stress model is developed for the flip chip components and the thermal fatigue lives of flip chip component solder joints are analyzed. The model based simulation results show the effects of environmental and power parameters on thermal fatigue life. It is indicated that under cyclic thermal loading, the solder joint with the shortest life in a package of flip chip components is located at the outer corner point of the array. Increment in either power density or ambient temperature or the decrease in either power conversion time or ambient pressure will result in short thermal fatigue lives of the key solder joints in the flip chip components. In addition, thermal fatigue life is more sensitive to power density and ambient temperature than to power conversion time and ambient air pressure.
Optimizing a Simple Natural Dye Production Method for Dye-Sensitized Solar Cells: Examples for Betalain (Bougainvillea and Beetroot Extracts) and Anthocyanin Dyes

We present a study about the sensitizers extracted from natural resources. This paper focuses on how to select, extract and characterize natural dyes, giving some guides to establish a protocol for the whole process of fabricating and using these dyes. The influence of the extraction solvent and method, and of parameters such as pH are analyzed. Also, dye precursor and dye extract stability have been studied, as well as how the dye adsorbs onto substrates and the effect of mixing or concentrating the extracts. Results concerning betalain pigments present in bougainvillea and beetroot extracts, and anthocyanins in eggplant extracts, analyzed by using UV-Vis spectrometry, are included. As an example of application, we report procedures intended to test and enhance the dye potential as a main component of dye-sensitized solar cells (DSSCs). DSSCs mimic nature’s photosynthesis and have some advantages like an easy and low-cost fabrication procedure. Their efficiency depends on its design and fabrication process and also on the different components involved. Hence, optimizing each component is essential to achieve the best performance, and thus the dye used as a sensitizer is crucial. We fabricate cells by using a simple procedure: As the interest is focused on the sensitizer, the same consecutive steps are followed, varying only the dye extract. Among all the natural-dyes tested, beetroot extract reaches up to 0.47% cell efficiency, which is near the highest values found in literature for this pigment.
Design Method of a Direct-Drive Permanent Magnet Vernier Generator for a Wind Turbine System

In this study, a novel design method of a direct-drive (DD) permanent magnet vernier generator (PMVG) is proposed for a gearless, high-power, and lightweight wind turbine system. Once the maximum power requirement is given, the base and maximum speeds of the generator are first obtained from aerodynamic characteristics of the wind turbine blade. Then the necessary electrical circuit parameters of the generator are scoped with consideration of the maximum torque per ampere control scheme of a permanent magnet generator. To determine the generator geometries satisfying the scoped parameters, the correlations between the parameters and geometries of a PMVG with concentrated windings are deduced. Using the deduced correlations and the obtained parameters, a systematic design procedure of a PMVG is proposed. For a case study, a 5-kW DD-PMVG with the outer rotor is designed through the proposed method. The performance characteristics of the designed generator are analyzed with finite-element simulations and compared with analytically predicted results. Finally, the experimental results are provided.
Review on the Electrical Resistance/Conductivity of Carbon Fiber Reinforced Polymer

Carbon fiber reinforced polymer (CFRP) plays an important role in many fields, especially in aviation and civil industries. The electrical conductivity of CFRP is critical for its electrical behavior, such as its lightning strike vulnerability, electromagnetic shielding ability, and potential uses for self-sensing. In addition, the electrical conductivity is related to the mechanical integrity. Therefore, electrical properties can be measured as an indication when detecting delamination and other defects in CFRP. This review provides a comprehensive basis for readers to grasp recent research progresses on electrical behaviors of CFRP.
Asymptotic Analysis of Large Heterogeneous Queueing Systems

As a simple example of a large heterogeneous queueing system, we consider a single queue with many servers with differing service rates. In the limit of infinitely many servers, we identify a queue control policy that minimizes the average system delay. When there are only two possible server speeds, we can analyze the convergence of this policy to optimality. Based on this result, we propose policies for large but finite systems with a general distribution of server speeds.
Iterative Block Decision Feedback Equalization for IM/DD-Based OCDM to Compensate Chromatic-Dispersion-Induced Power Fading

Orthogonal chirp-division multiplexing (OCDM) has recently been proposed as an attractive modulation technique for high-speed fiber-optic systems in virtue of its resilience against system impairments. In this paper, we propose an iterative block (IB) decision feedback equalization (DFE) algorithm for the intensity-modulation and direct-detection (IM/DD) based OCDM system to effectively mitigate the chromatic-dispersion (CD) induced power fading in the fiber. An efficient algorithm is derived to simplify the IB-DFE at the receiver. Analysis is provided to show that the fading effect is compensated by recovering the noisy signals in the vicinity of frequency notches. Simulations were carried out to study the performance of the proposed system. The results show that the proposed system with IB-DFE is able to compensate severe fading effects and improves the bit error rate (BER) by several orders of magnitude. An experiment was implemented to realize 30.3-Gb/s IM/DD-OCDM signal over 50-km fiber, in which power fading due to CD over 20 dB was observed. The experiment results show that the proposed system further reduced the required optical signal-to-noise ratio by 8 dB to achieve a BER of 3 × 10−5.
The right time for Europe to stop smoking

Tobacco smoking has been popular for a long time. After the invention of the cigarette at the end of the 19th century and the advent of some of the world's most successful marketing campaigns, the habit became a mass killer in the developed world in the second half of the 20th century. However, for the first time in a century, the tide is turning in Europe. Tobacco control interventions introduced in the USA and Europe over the last 15 years are beginning to show concrete results, and smoking prevalence rates have fallen significantly in the last 15 years in many developed nations.