Quality Analysis Method Research Articles

Application of Enhanced Otsu method for Assembly Line Quality Analysis of Welded Structure

Application of Enhanced Otsu method for Assembly Line Quality Analysis of Welded Structure

Assisted quality inspection for hip prostheses components

In the paper is presented a new method for quality analysis of some hip prosthetic elements, surface quality standpoint. First of all it is about the head, as spherical joint for the hip prosthesis. For best bio-compatibility is absolutely necessary that its surface to be well processed standpoint roughness, for lowest friction forces, as much as possible those in the case of the natural hip joint. For this reason, within our current research activities, we have developed a virtual instrument, as software interface for efficient assisted roughness deviations for spherical joints of the hip prostheses, reported to a reference hip prosthesis. This application could be very practical and useful for the stage of adjustment and grinding prostheses heads, increasing the productivity and reducing the number of scraps cases in production

Clinical application of visual quality analysis in cataract patients

Cataract is a major cause of blindness and vision impairment disease, and the main therapy for cataract is operation. For improving the postoperative efficiency, cataract surgery has gradually transformed from traditional restorative surgery to refractive surgery with modern technique. Visual quality is one of the crucial indicators for assessing imaging quality and surgical efficiency in cataract patients. Although several instruments are available, each has its advantage and disadvantage. In the clinic, the optimum visual quality analysis methods should be selected according to the principle, function and clinical significance to meet the practical needs of different cataract patients.

Quality analysis method for powder deposited layers applicable to selective laser sintering and selective laser melting processes

Selective laser sintering and selective laser melting (SLS/SLM) are additive manufacturing processes based on a layer-by-layer part construction approach by powder bed stacking. At each layer, the laser beam melts a material on the powder bed to create a new section of the part being built. Defects on the powder layer may be carried over to the final part and result in pores, cracks, or other undesirable defects. Monitoring systems are commonly applied to such manufacturing processes, increasing its reliability, thus producing better quality parts. In this research, an imaging method designed to analyze a nonprocessed powder layer is presented. First, a monocular digital camera is used to capture a perpendicular and properly lit image from each powder layer set by a deposition system. The images taken are then digitally sharpened. Subsequently, the images are binarized and processed to acquire the percentage of black and white pixels. Thereon, by comparing the ratio and concentration of black and white pixels of each layer to the normally distributed values of the group, the layers containing defects stand out. The method is feedstock material dependent, as its optical and morphological characteristics change the measured ratio distribution. The here suggested ensemble of method and hardware is applicable to SLS/SLM processes and could evaluate the quality of each layer set, allowing laid flaws to be corrected before becoming defects. Future improvements of this technique may include the fields of machine learning and artificial intelligence.

On the use of joint sparse representation for image fusion quality evaluation and analysis

In this paper, a Spare Representation (SR) based fusion quality evaluation and analysis method is proposed. This method employs Joint Sparse Representation (JSR) to extract the source image remnants after fusion. These atom-level remnants indicate the fusion quality intuitively, and permit the analysis of fusion effect in learned feature space. Our analysis results indicate that high salient atoms always present poor expressions in fusion results. An improved fusion rule is designed to emphasis high salient atoms accordingly. In experiments, the effectiveness of our method was verified and the characteristics of atom JSR remnants were investigated in detail first. Then the new fusion rule was tested to demonstrate the value of JSR remnant analysis. The objective and subjective comparison results indicate that the proposed analytical evaluation metric can measure fusion quality and analysis atom fusion effect accurately. The new fusion rule provides a valuable alternative for SR fusion algorithm design.

Applying static code analysis for domain-specific languages

The use of code quality control platforms for analysing source code is increasingly gaining attention in the developer community. These platforms are prepared to parse and check source code written in a variety of general-purpose programming languages. The emergence of domain-specific languages enables professionals from different areas to develop and describe problem solutions in their disciplines. Thus, source code quality analysis methods and tools can also be applied to software artefacts developed with a domain-specific language. To evaluate the quality of domain-specific language code, every software component required by the quality platform to parse and query the source code must be developed. This becomes a time-consuming and error-prone task, for which this paper describes a model-driven interoperability strategy that bridges the gap between the grammar formats of source code quality parsers and domain-specific text languages. This approach has been tested on the most widespread platforms for designing text-based languages and source code analysis. This interoperability approach has been evaluated on a number of specific contexts in different domain areas.

Maintaining automated measurement of Choosing Wisely adherence across the ICD 9 to 10 transition.

It remains unclear how to incorporate terminology changes, such as the International Classification of Disease (ICD) transition from ICD-9 to ICD-10, into established automated healthcare quality metrics. To evaluate whether general equivalence mapping (GEM) can apply ICD-9 based metrics to ICD-10 patient data. To develop and validate novel ICD-10 reference codesets. Retrospective analysis for eleven Choosing Wisely (CW) metrics was performed using three scripted algorithms on an institutional clinical data warehouse. ICD-10 data were compared against published ICD-9 based metric definitions using two equivalence mapping algorithms. A third algorithm implemented novel reference ICD-10 codes matching the original ICD-9 codes' intent for comparison with patient ICD-10 data. All adult patients seen at Vanderbilt University Medical Center, April - September 2016. The prevalence of eleven CW services during the six-month period. The three algorithms found similar prevalence of avoidable CW services, with an unweighted-mean of 8.4% (range: 0.16-65%), or approximately 20,000 CW services out of 240,000 potential cases in 515,406 unique patients. The algorithms' median sensitivity was 0.80 (interquartile range: 0.75-0.95), median specificity was 0.88 (IQR: 0.77-0.94), and median Rand accuracy was 0.84 (IQR: 0.79-0.89). The attributed waste of these eleven services for the period ranged from $871,049 to $951,829 between methods. Accuracy assessment demonstrated that the GEM-based methods suffered recall losses for metrics requiring multistep mapping due to incompleteness, while novel ICD-10 metric definitions avoided these challenges. Comprehensive mapping enables use of legacy metrics across ICD generations, but requires computational complexity that can be avoided with novel ICD-10 based metric definitions. Variation in the dollars attributed to waste due to ICD mapping introduces ambiguity that may affect quality-based reimbursement.

Noise Removal Method for Unmanned Aerial Vehicle Data to Estimate Water Quality of Miharu Dam Reservoir, Japan

Lake Sakurako is a reservoir of the Miharu Dam in Fukushima Prefecture, Japan. The water quality of the small lake becomes significantly worse during the summer owing to the occurrence of blue-green algae. Therefore, water quality management is a serious problem. Because the primary method of water quality analysis is direct collection from the target water area, the analysis range is limited, and the analysis of the entire water area is very difficult. Therefore, performing a wider range of analyses by remote sensing is a possible solution. In this study, we analyze near infrared (NIR) data acquired by unmanned aerial vehicles (UAVs). A fuzzy regression analysis is conducted on the UAV data and water measurements. Based on the experimental results of data from August 2015, the NIR data is confirmed to be useful in estimating the water quality conditions in Lake Sakurako. Furthermore, we investigate the noise removal process using a nonlocal mean filter and demonstrate that the process provides more detailed information regarding the lake’s water quality.

Random Forest Based Quality Analysis and Prediction Method for Hot-Rolled Strip

Random Forest Based Quality Analysis and Prediction Method for Hot-Rolled Strip

Superhydrophobic Soot Coated Quartz Crystal Microbalances: A Novel Platform for Human Spermatozoa Quality Assessment.

The functionality of human spermatozoa is a key factor for the success rate of natural human reproduction, but unfortunately the infertility progressively increases due to multifarious environmental factors. Such disquieting statistics requires the employment of sophisticated computer-assisted methods for semen quality analysis, whose precision, however, is unreliable in cases of patients with low sperm concentrations. In this study, we report a novel quartz crystal microbalance (QCM) based biosensor for in-situ quality assessment of male gametes, comprising a superhydrophobic soot coating as an interface sensing material. The soot deposition on the surface of a 5 MHz QCM eliminates the noise that normally arises upon immersion of the uncoated sensor in the test liquid environment, allowing the detection of human spermatozoa down to 1000–100,000 units/mL (1–100 ppb). Furthermore, the soot coated QCM delimitates in a highly repeatable way the immotile and motile sperm cells by inducing fundamentally distinct responses in respect to sensor sensitivity and signal trends. The obtained results reveal the strong potential of the superhydrophobic QCM for future inclusion in diverse laboratory analyses closely related to the in vitro fertilization procedures, with a final aim of gaining practical approaches for diagnoses and selection of male gametes.

DMAIC Method of Quality Improvement of Ground Works Processes: Case Study

The foundations are important part of every building’s structure. It can be distinguished square foundations and deep foundations. The process of creating foundations during building construction can be in some cases very complicated and, similar to other construction processes, very costly when errors and problems occurs. Lean construction is a management strategy to eliminate possible errors and wastes during execution of the processes, which is why it is nowadays more widely used for prevention, as well as in the situation of emergency, when solutions already prepared are executed according to the plan. One of the methods that can help in successful implementation of good practices in construction from the quality management perspective is DMAIC, which means Define-Measure-Analyze-Improve-Control. Authors decided to use it for the purpose of this publication. Article presents the use of the DMAIC concept on the example of foundation preparation in the construction site in the city of Koło. The paper presents methods of quality management in the construction process based on foundation works. The quality analysis was based on the DMAIC method, in which the following quality analysis methods were used: Ishikawa diagram, FMEA analysis, Pareto chart. The proposed methods and solutions can be implemented on other construction sites conducting similar processes. Attention is drawn to the need for further research to be carried out to confirm the estimated values of solving problems ratio in groundworks processes, which authors are planning to execute on similar construction site in Poznań.

Application on sensory prediction of Chinese Moutai-flavour liquor based on ATR-FTIR

ATR-FTIR combined with chemometrics was applied to establish SVM classification models aiming to evaluate sensory quality of Chinese Moutai-flavour liquor. Transformation of ATR-FTIR data, selection of effective wavenumbers as well as determination of c and gamma were performed in succession, while the verification of models was deployed applying unknown samples. Finally, taste-prediction models of raw grain and cleanliness have an accuracy reaching 90%. Model of after-taste has an accuracy of 80% and others are lower than 70%. As for some flavours, ATR-FTIR and chemometrics technology provided an effective method for quality analysis of Chinese Moutai-flavour liquor.

A concept of the air quality monitoring system in the city of Lublin with machine learning methods to detect data outliers

This paper presents a concept of the air quality monitoring system design and describes a selection of data quality analysis methods. A high level of industrialisation affects the risk of natural disasters related to environmental pollution such ase.g.air pollution by gases and clouds of dust (carbon monoxide, sulphur oxides, nitrogen oxides). That is why researches related to the monitoring this type of phenomena are extremely important. Low-cost air quality sensors are more commonly used to monitor air parameters in urban areas. These types of sensors are used to obtain an image of the spatiotemporal variability in the concentration of air pollutants. Aside from their low price , which is important from a point of view of the economic accessibility of society, low-cost sensors are prone to produce erroneous results compared to professional air quality monitors. The described study focuses on the analysis of outliers as particularly interesting for further analysis, as well as modelling with machine learning methods for air quality assessment in the city of Lublin.

Метод аналізу якості функціонування системи керування мережею наступного покоління на основі інформаційно-ентропійних характеристик

Метод аналізу якості функціонування системи керування мережею наступного покоління на основі інформаційно-ентропійних характеристик

Нові напрями в селекції зернових культур на якість зерна

The purpose. Cultivated cereal’s grain quality is a question number one in the civilized world. Methods. Field, laboratory methods, methods of protein electrophoresis, polymerase chain reaction (PCR), technological analysis of grain and flour, mesuring of grain antioxidant activity, chromatographic analysis. In researches have used the original methods of electrophoretic analysis and grain quality analysis, developed in the Department of genetic bases of breeding of Plant Breeding & Genetics Institute which now became standard analytical procedures. Results. One of the perspective way of wheat quality amelioration as well as other agronomic characters is the use of germplasm of wild relatives aegilopses Ae. tauschii (2n=2x=14) and Ae.cylindrica (2n=4x=28) the D genome donors as a key genome of cultivated wheat. Genetic manipulation with Wx (Wax) and SBEIIa genes makes possible an efficient regulation of the starch amylose/amylopectin ratio, to manage of the starch biochemistry and rheology of wheat, barley and triticale. The use of genetic factors regulating of the starch biochemical composition reveals the new directions in breeding of wheat, hull-less barley and triticale possessing with special of biochemical and technological grain characteristics as raw material for development of the new food products. Authors presented the breeding concept of the new common wheat technological class of the grouts end-use with promoted of the grain food value. Conclusion. The cereals grains is the main food source of unique dietary fibers, plant antioxidants and key minerals — three components that together form the basis of modern nutritiology and dietetics, the foundation of a healthy diet. Based on the results conducted research authors noted, that cereals food quality amelioration by manipulation with genes regulating of grain biochemistry should become a key point in the strategy of cereals quality amelioration as a base for development and production of the healthy (functional) food products for Ukrainian nation.

Application of Quality Analysis Method to identify the best Interaction style of parent companies and their subsidiaries

Identifying the effective factors in improving project performance is one of the most important issues that researchers in the field of a project management deal with it. It is especially important in project-oriented organizations, which have a more complex value chain. Accordingly, with the goal of helping and better influencing the parent organizations on their own projects and creating value for them, design of the optimal style of interaction of the project-oriented parent organizations with subsets using the results of data qualitative content analysis was done by the authors of this paper in order to guide the researchers of this field toward the mentioned direction and conducting the field and case studies. In order to achieve the mentioned optimal style, first of all, the capabilities of the project-oriented parent organizations must be identified with a suitable approach and categorized in a coherent system that forms the organizational capability dimensions and taken action to formulate the optimized style based on the findings and achievements. While, this paper is the first scientific documentation of the Ph.D. thesis of the research team of the authors of this article, it addresses and invites other researchers and enthusiasts of this field to address the issue in various statistical societies.

Shedding light into the relevance of telomeres in human reproduction and male factor infertility†.

Sperm telomere length (STL) is a promising new parameter for sperm quality analysis that may elucidate the molecular mechanisms underlying the idiopathic cases of male factor infertility, which represent almost half of all the male factor infertility cases worldwide. Telomeres consist of nucleoprotein structures present at the ends of eukaryotic chromosomes, whose protective functions maintain the genomic stability. Their role in reproduction includes an active intervention during gametogenesis, fertilization, and preimplantation embryo development. In consonance, studies have shown that compromised telomere homeostasis is associated with male infertility. Since critically short telomeres have their function affected, assessing STL may be a fast and economic method for sperm quality analysis and expectantly contribute to improve the success of fertility treatments. This hypothesis is supported by several reports associating STL with seminal parameters, sperm genome integrity, and clinical outcomes. However, there are other studies in the literature that do not demonstrate these associations. Additionally, it is still not clear whether the lengthening mechanisms of telomeres occurring during early embryo development resume the inherited telomere length. Further research is essential to clarify the suitability of STL as a biomarker for male infertility, before it could be routinely implemented in medically assisted reproduction centers. Understanding the molecular mechanisms underlying STL function and dynamics will provide us new insights into the origins of male infertility and a possible new useful tool as an outcome predictor for assisted reproduction.

Applying the Kano two-dimensional model and quality function deployment to develop sustainable planning strategies for public housing in Taiwan

The worldwide issue of high housing prices has significantly affected the general population’s inhabitation right and their willingness to purchase homes. The governments of all countries have been actively promoting public housing policies to help satisfy daily living requirements for all social classes. However, many differences exist in the design requirements for public housing and typical housing design, and the lack of discussion on these differences has caused design outcomes to often fail in meeting users’ requirements. This study first adopts the Kano two-dimensional quality analysis method in an attempt to define the real needs of public housing users; subsequently, based on the quality function deployment method, it transforms the design requirements into a design strategy. The research findings indicate that future public housing must focus on multi-generational living arrangements, energy-efficient and barrier-free designs, flexible spaces, crime prevention, self-sufficient farming, and other such areas to satisfy the needs of different users. This study practically bases its case designs on a design strategy and obtained feedback from users to understand the expectations and cognitive differences between designers and residents.

Signal Decomposition of Conductivity Sensor Measurements on the Allegheny River, Pennsylvania.

Surface water conductivity measurements were used to evaluate the combined contribution of anions in western Pennsylvania from brines discharged by sources such as oil and gas wastewater treatment, coal-fired power plants, and coal mining activities. Conductivity sensor data were collected in the Allegheny River during a US Environmental Protection Agency and US Fish and Wildlife study that included seven sites covering 256 river km during the fall of 2012. Intermittent discharges, such as oil and gas wastewater, and continuous sources contributing to the conductivity were quantified using constrained and adaptive decomposition of time-series (CADETS) frequency analysis. CADETS was able to quantify the intermittent or short-term component of conductivity at sites where the intermittent fraction was 1 to 22% of the total conductivity. The demonstrated efficacy of the CADETS method for surface water quality analysis suggests it could be widely used to evaluate other water sensor data in rivers with both continuous and intermittent source impacts.

Electronic catalog as an object of quality assessment

The quality of electronic catalogs is a guarantee of the library collections effective use. However, an adequate methodology for assessing the quality of an electronic catalog (EC) is not available today. It is necessary to introduce a new system of quality analysis. At the research first stage the terminological analysis of the EC notion has been carried out, which reveals the absence of a universal clear definition that allows highlighting an electronic catalog in a series of other similar objects. The author traces main approaches to the definitions formation. These approaches determining allowed us to begin refining the specific characteristics of the electronic catalog based on the professional literature analysis for 1990-2017. The author concludes: the modern EC is a complex multicomponent object, which various components require different criteria and methods of quality analysis. The composition of EC components as quality assessment objects and main evaluating indicators for each component are determined: bibliographical databases (including fullness, data identity and relevance, efficiency, completeness of documents’ identifying characteristics, compliance with the bibliographic description rules, entire and depth of document content reflection, stability of indexing); lexicographic databases (including the information search language (ISL) vocabulary completeness and detail, data identity and relevance, correct wording and alignment of the access points, the compliance with requirements of data presentation formats, ISL grammar tools composition and functionality); factographic data (information completeness and accuracy on the availability and location of publication copies, their movement); database management system and information processing s y st em (functional suitability, accessibility, ease of use, application reliability and security, efficiency, mobility); search system (ISL functionality, ease of navigation in the catalog, efficiency of search techniques and algorithms, relevance criteria, completeness and ease of understanding of search instructions, maintaining the system to help users); user interface (completeness of tasks solved by the system, compliance with human capabilities, visibility and functionality of formats, user-friendly modes of operation with the interface, user feedback, comfort, compliance with aesthetic requirements); system for ensuring the reliability of information storage .