Quality Enhancement Strategy Research Articles

An enhanced Moth-Flame optimizer with quality enhancement and directional crossover: optimizing classic engineering problems

As a popular meta-heuristic algorithm, the Moth-Flame Optimization (MFO) algorithm has garnered significant interest owing to its high flexibility and straightforward implementation. However, when addressing engineering constraint problems with specific parameters, MFO also exhibits limitations such as fast convergence and a tendency to converge to local optima. In order to address these challenges, this paper introduces an enhanced version of the MFO, EQDXMFO. EQDXMFO integrates a Quality Enhancement (EQ) strategy and a Directional Crossover (DX) mechanism, fortifying the algorithm’s search dynamics. Specifically, the DX mechanism is designed to augment the population’s diversity, enhancing the algorithm’s exploratory potential. Concurrently, the EQ strategy is employed to elevate the solution quality, which in turn refines the convergence precision of the algorithm. To verify the effectiveness of EQDXMFO, experiments are carried out on the test set of the IEEE CEC2017. A total of 5 classical algorithms, five excellent MFO variants, and seven state-of-the-art algorithms are selected for comparison, which confirm the significant advantages of EQDXMFO. Next, EQDXMFO is applied to five complex engineering constraint problems, demonstrating that EQDXMFO can optimize realistic problems. The comprehensive analysis shows that EQDXMFO has strong optimization capabilities and provides methods for research on other complex real-world problems.

Attention-guided Multi-modality Interaction Network for RGB-D Salient Object Detection

The past decade has witnessed great progress in RGB-D salient object detection (SOD). However, there are two bottlenecks that limit its further development. The first one is low-quality depth maps. Most existing methods directly use raw depth maps to perform detection, but low-quality depth images can bring negative impacts to the detection performance. Hence, it is not desirable to utilize depth maps indiscriminately. The other one is how to effectively predict salient maps with clear boundary and complete salient region. To address these problems, an Attention-Guided Multi-Modality Interaction Network (AMINet) is proposed. First, we propose a new quality enhancement strategy for unreliable depth images, named D epth E nhancement M odule ( DEM ). With respect to the second issue, we propose C ross- M odality A ttention M odule ( CMAM ) to rapidly locate salient region. The B oundary- A ware M odule ( BAM ) is designed to utilize high-level feature to guide the low-level feature generation in a top-down way to make up for the dilution of the boundary. To further improve the accuracy, we propose A trous R efined B lock ( ARB ) to adaptively compensate for the shortcoming of atrous convolution. By integrating these interactive modules, features from depth and RGB streams can be refined efficiently, which consequently boosts the detection performance. Experimental results demonstrate the proposed AMINet exceeds state-of-the-art (SOTA) methods on several public RGB-D datasets.

Utilizing Drying Techniques to Enhance The Quality of Avocados and Bananas For Producing Value-Added Fruit Powders in Alanya, Turkey's Plantations: A Systematic Review

The high perishability of bananas and avocados causes a loss in quality and value. With the aim of the Turkish government to increase production to meet its exportation demands, consequences of losses is expected to amplify. Therefore, this review aims to provide an overview on the potential of using drying as a preservation method to produce fruit powders and also to evaluate the effects of drying on the physicochemical properties and colour of the powders as a consumer acceptability parameter. The review initially collated 893 results from databases and the utilization of search engines. 30 articles were selected for qualitative assessment. Results showed convective, vacuum, freeze and spray drying produced powders with acceptable moisture content (

A S trategic Human Resource Management Approach in Chaebol Hotels

Purpose: The purpose of this study is to examine how strategic human resource management practices are enacted in chaebol hotels, and also to evaluate the relationship between the SHRM practices and organizational effectiveness as experienced by employees, regarding the concept of organizational justice. Design/methodology/approach: The questionnaire survey for employees served to test hypotheses which examine the relationship between SHRM and the influence of these HR practices on organizational effectiveness, using multi-regression analysis. This research encompasses a total of 450 responses collected from individuals employed at chaebol hotels in Seoul and Busan. Findings: This study revealed that chaebol hotels hired competent employees who had language capabilities, used appearance as a selection criterion, and ensured that sophisticated selection methods were well established through the HR systems of numerous subsidiary companies. Employees consider the perceived injustices in the recruitment and selection process and the perceived unfairness in promotions. Research limitations/implications: All findings support the concept that the best practice, driven by collectivism, employment legislation, trade unions, and financial considerations, plays a significant role in managing HRM in chaebol hotels. This study contributes a new SHRM framework by integrating a combination of best fit, based on quality enhancement strategy, and best practices tailored to the specific organization. Originality/value: This study contributed to explore the SHRM framework for the Chaebol hotel sector with regard to providing both high quality of service and also a high price policy. This study provides guidelines for efficient SHRM to managers and practitioners who operate deluxe hotels and offers an essential material to gain a better understanding of a new SHRM framework in service organization.

Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems

Abstract In recent years, the sine cosine algorithm (SCA) has become one of the popular swarm intelligence algorithms due to its simple and convenient structure. However, the standard SCA tends to fall into the local optimum when solving complex multimodal tasks, leading to unsatisfactory results. Therefore, this study presents the SCA with communication and quality enhancement, called CCEQSCA. The proposed algorithm includes two enhancement strategies: the communication and collaboration strategy (CC) and the quality enhancement strategy (EQ). In the proposed algorithm, CC strengthens the connection of SCA populations by guiding the search agents closer to the range of optimal solutions. EQ improves the quality of candidate solutions to enhance the exploitation of the algorithm. Furthermore, EQ can explore potential candidate solutions in other scopes, thus strengthening the ability of the algorithm to prevent trapping in the local optimum. To verify the capability of CCEQSCA, 30 functions from the IEEE CEC2017 are analyzed. The proposed algorithm is compared with 5 advanced original algorithms and 10 advanced variants. The outcomes indicate that it is dominant over other comparison algorithms in global optimization tasks. The work in this paper is also utilized to tackle three typical engineering design problems with excellent optimization capabilities. It has been experimentally demonstrated that CCEQSCA works as an effective tool to tackle real issues with constraints and complex search space.

Integrating Image Quality Enhancement Methods and Deep Learning Techniques for Remote Sensing Scene Classification

Through the continued development of technology, applying deep learning to remote sensing scene classification tasks is quite mature. The keys to effective deep learning model training are model architecture, training strategies, and image quality. From previous studies of the author using explainable artificial intelligence (XAI), image cases that have been incorrectly classified can be improved when the model has adequate capacity to correct the classification after manual image quality correction; however, the manual image quality correction process takes a significant amount of time. Therefore, this research integrates technologies such as noise reduction, sharpening, partial color area equalization, and color channel adjustment to evaluate a set of automated strategies for enhancing image quality. These methods can enhance details, light and shadow, color, and other image features, which are beneficial for extracting image features from the deep learning model to further improve the classification efficiency. In this study, we demonstrate that the proposed image quality enhancement strategy and deep learning techniques can effectively improve the scene classification performance of remote sensing images and outperform previous state-of-the-art approaches.

Bidirectional converter with hybrid UPQC implementation for power quality improvement

This paper presents a power quality enhancement strategy based on an energy storage device using the active power line cleanser in energy systems. The PQ challenges can be fixed in this framework by using the efficiency of the power compensation. For distributed generators, the transmission line is used to preserve the shunt inverter’s DC connection capacitor and dynamic voltage regulator. The renewable power source is used to provide the supply for bidirectional converter which controlled by using MPPT method. This proposed system consists of dynamic voltage restorer, bidirectional power flow converter, PV arrays, shunt inverter, shunt active power filter control, and super capacitor energy storage system. The PQ troubles of sag and swells are addressed at distribution system and achieve the compensation. The simulation designs are carried out in order to validate the proposed system topology results with their performance.

Оценка качества государственного управления в России и других крупных экономиках мира

The article presents a comparative analysis of governance quality in Russia and other countries in the top ten leaders in terms of GDP level (based on purchasing power parity). Based on the synthesis of international approaches, the author suggests three critical dimensions to measuring governance quality: justified and impartial state interference, effectiveness, and efficiency. The analysis is based on the data of international organizations. The article suggests that, among other countries, Russia is not leading in any of governance quality indicators. Noteworthy, while Russia’s positions are comparable with those of other large countries in human development index, adjusted net savings, and the ease of doing business, the country is lagging behind most of the top ten world economies both in terms of citizen satisfaction with education and primary health services and in terms of the level of citizen protection from government-controlled risks. In the area of corruption, the gap is even more significant. Overall, the results of the comparative analysis suggest the need to undertake a system of measures aiming at improving justice, effectiveness, and efficiency of public administration in Russia based on developing and implementing a comprehensive governance quality enhancement strategy. This would allow transforming public administration into a factor supporting rather than constraining social and economic development and improving quality of life in Russia.

Strategic human resource management and employees' intention to leave: testing the moderated mediation

PurposeThe purpose of this study is to examine the relationship between business strategies (i.e. cost reduction, quality enhancement and innovation strategy) and employees' intention to leave (ITL), through the mediating role of high-performance work system (HPWS). It also attempts to study variability in the relationship between business strategies, HPWS and employees' ITL on the basis of nature and ownership forms of the firms.Design/methodology/approachPrimary data based on 573 respondents from 192 organizations operating in India were analysed using structural equation modelling and conditional process modelling.FindingsThis study has revealed that HPWS mediates the relationship between business strategy (specifically innovation and quality-enhancement strategy) and employees' ITL. Findings further indicate that the mediated relationships between quality enhancement and innovation strategy, HPWS and ITL do not vary across nature and ownership forms of the firms.Practical implicationsIn context of dynamic business environments in developing countries, the findings provide some important insights in exploring the relevance of strategic human resource management in improving employees' behavioural intentions.Originality/valueBy applying a three dimensional business strategy system (innovation, quality and cost) and by exploring the relevance of several contextual factors, this study attempts to expand the focus of turnover research.

Stability and Power Quality Enhancement Strategy for DFIG System Connected to Harmonic Grid With Parallel Compensation

Distributed grid and microgrid are becoming increasingly important in power system nowadays. In these grids, reactive compensations and harmonic current suppression are commonly employed to improve power quality. For the doubly fed induction generator (DFIG), high frequency resonance (HFR) will occur when it is connected to parallel compensation grids. When DFIG system is connected to the harmonic grid with parallel compensation, frequency ranges of HFR and harmonics may have intersections. In this paper, some cases for DFIG system with the HFR damping and harmonics suppressor are given to reveal that the coupling between HFR damping control and harmonics suppression control may lead DFIG system into the unstable situation. Furthermore, a frequency detection is necessary for the existed HFR damping control when compensation capacitor changes, which will deteriorate the HFR damping performance due to the additional detection time on HFR frequency. This paper proposes an impedance reshaping control strategy based on a variable frequency resistance and chebyshev filter, the HFR damping control and harmonic current suppression can be achieved simultaneously to improve power quality for DFIG system connected to the harmonic grid with parallel compensation. Theoretical analysis, simulations, and experiments verify availability of the proposed control strategy.

Safer and healthier reduced nitrites turkey meat sausages using lyophilized Cystoseira barbata seaweed extract.

Background Nitrite salts are still common additives in the meat industry. The present study provides a first approach on the employment of the lyophilized aqueous extract (WE) of the Tunisian seaweed Cystoseira barbata for the quality enhancement of turkey meat sausage. Methods WE was supplemented as a natural antioxidant agent to investigate its effectiveness in delaying lipid oxidation turkey meat sausages containing reduced amounts of sodium nitrites. Results On storage day 5, all concentrations of WE (0.01-0.4 %) reduced the meat lipid oxidation by approximately 36 %, as compared to the negative control containing only 80 mg/kg of meat of sodium nitrites as antioxidant. It was noted that within 15 days of refrigerated storage, a meat system containing 80 mg/kg of meat of sodium nitrites and 0.02 % and 0.04 % of WE had similar Thiobarbituric Acid Reactive Substances (TBARS) levels (19±1.32 and 17±1.12 µmol/kg of meat, respectively), which were comparable to the positive control containing sodium nitrites (150 mg/kg of meat) and 0.045 % vitamin C (18.46±1.27 µmol/kg of meat). In-depth, the metabolomic profiling using gas chromatography-mass spectrometry (GC/MS) and liquid chromatography-quadripole-time-of-flight-mass spectrometry (LC-QTOF-MS) analyses of the Tunisian seaweed C. barbata solvent extracts showed that the main active compounds were phenolic compounds, fatty acids and sterols. Conclusions Overall, the cold medium containing C. barbata lyophilized aqueous extrac, with strong antioxidant activity and antihypertensive properties, may open the way to the development of a natural quality enhancement strategy for new functional and ever healthier reduced nitrites meat sausages based on algae.

Power quality enhancement strategy in transmission lines by distributed generation

This is the real-time study to quantify and analyse the impact of distributed generation (DG) in Tamil Nadu, India to examine what the benefits of decentralised generation would be for meeting rural loads. The recent unbundling of electricity boards in India into small units (corporations) has created opportunities for involvement of independent power generation companies. Remarkable achievements and improvements are expected in power quality especially in the southern part of the country where more power shortage. The power system utilities are increasing every day, to enhance the distribution power quality and maintain the voltage stability is a challenging task. This can be achieved through the distributed generation (DG). The proposed technique has been developed and finding solution to real practical problems. The effectiveness of the proposed technique is tested and verified using MATLAB software and compared with the real-time study on long radial distribution system in Tamil Nadu (India).

Correction and interpolation of depth maps from structured light infrared sensors

Infrared structured light sensors are widely employed for control applications, gaming, acquisition of dynamic and static 3D scenes. Recent developments have lead to the availability on the market of low-cost sensors, like Kinect devices, which prove to be extremely sensitive to noise, light conditions, and the geometry of the scene.The paper presents a quality enhancement strategy for Kinect-acquired depth maps that corrects depth values via a set of local differential equations and interpolates the missing depth samples. The approach improves both density and accuracy of the generated 3D model under different light conditions and in the presence of cross-talk noise derived from other devices. Moreover, the paper introduces a new experimental reference dataset for Kinect denoising algorithms consisting in multiple acquisition under different noise conditions associated to a laser scan model of the scene (ground truth).

Feedback and Its Triangulation with Teaching and Learning: A Quality Enhancement Strategy.

Although feedback is one of the most powerful influences on learning and achievement, its impact can be either positive or negative. This research focused on how feedback could be employed as a quality enhancement strategy in the teaching and learning process at university level. A qualitative case study involving a total of sixty students on three different programmes, namely: Bachelor of Education II (all ten students), Bachelor of Education I1I (all twenty students) Bachelor of Education IV (all 30 students) was carried out. All students on the said programmes participated in the study which collected data using focus group interviews and document analysis. Findings indicated that students valued feedback as it reassured them in terms of their progress. It had motivational potency. The feedback needed to be timely and varied, focusing not only on a task, but also on the process used to complete a task. It further emerged from the findings that feedback should be a symbiotic process benefiting both the student and the lecturer. When the two parties got feedback from each other the teaching and learning process was enhanced. The evidence also revealed that the type of feedback and the way it was given could be differentially effective. The study suggests ways in which feedback could be used to enhance effective teaching and learning.

IT Methods and Techniques Applied to Educational Quality Enhancement

European Union countries aspire to create, through the implementation of the Bologna Process, an open European Higher Education Area, which increases the attractiveness of European higher education and the competitiveness of Europeans in the international labour market. This paper examines the importance of the Bologna Process in countries outside Europe and how effective implementation of a Quality Assurance action plan can enhance education quality. The authors apply Information Technology (IT) methods and techniques, such as Total Quality Management (TQM), Goal Question Metric (GQM) and Balanced ScoreCard (BSC), to Educational Management. The derivation of Key Performance Indicators (KPIs) is discussed, as well as their application to a case study at the Cybernetics Faculty of the State Engineering University of Armenia (SEUA), regarding the implementation of an education quality enhancement strategy. As a result of the effort to align to European Higher Education Standards and the Bologna Process, a degree of Business Process Re-engineering (PBR) was necessary. The results show that the main reason for university strategy development is better relocation of resources and determination of which programmes and services are efficient and consistent with the university’s mission.

Fuzzy-based Field-programmable Gate Array Implementation of a Power Quality Enhancement Strategy for ac-ac Converters

In the present work, a new approach is proposed for via interconnects of semiconductor devices, where multi-wall carbon nanotubes (MWCNTs) are used instead of conventional metals. In order to implement a selective growth of carbon nanotubes (CNTs) for via interconnect, the buried catalyst method is selected which is the most compatible with semiconductor processes. The cobalt catalyst for CNT growth is pre-deposited before via hole patterning, and to achieve the via etch stop on the thin catalyst layer (ca. 3nm), a novel 2-step etch scheme is designed; the first step is a conventional oxide etch while the second step chemically etches the silicon nitride layer to lower the damage of the catalyst layer. The results show that the 2-step etch scheme is a feasible candidate for the realization of CNT interconnects in conventional semiconductor devices.

Banking Sector Growth in China: Can Six-Sigma Be a Solution?

Banking industry in China is facing immense competition from local as well as foreign banks, customers choicesregarding banks are expanding. At present, banking is increasingly becoming a consumer-centric service provider.Customers are becoming more quality conscious and are demanding new and qualitative products and services. SixSigma is a kind of quality enhancement strategy that can help a bank to win customers’ loyalty. However, SixSigma alone is not enough to meet the rapidly increasing competition, an alignment between Six Sigma andknowledge management is essential. The study examines the gainful effects of the use of knowledge managementand also gives a critical analysis of the impact of six-sigma on banking performance and customer services. Thestudy examined that quality assurance practice, like Six Sigma along with knowledge management can be aneffective strategy for banking sector in China. Finally, the study proposed a model for banking sector to ensurehigh quality products and services.

Bandwidth allocation for video transmission with differentiated quality of experience over wireless networks

Delivering digital video content with enhanced quality of experience to the end users over error-prone multi-hop wireless networks is a challenging issue. In video transmission over such wireless networks, many network-based (packet loss, delay, etc.) and source-based (encoding quantization level etc.) parameters can impose some levels of impairment on the perceived video quality. In a video quality enhancement strategy, accurate video quality metrics play a crucial role in the designing process of optimal rate (bandwidth) allocation algorithms. Many cross-layer optimization (CLO) based rate allocation strategies have been developed for this purpose which consider different objective functions (congestion level, total packet loss, etc.) in wireless networks. The main contributions of the proposed work are twofold. At first, an optimal bandwidth allocation framework is being developed in which based on some network-specific constraints and by incorporating an accurate video quality metric, the total weighted quality of experience of some competing video sources is being optimized bases on cross-layer design techniques. Secondly, these optimal rates have been used for differentiated Quality of Experience (QoE) enforcement between multiple competing video sources. The resulting optimal rates can be used as rate-feedbacks for on-line rate adaptation of a moderate video encoder such as MPEG4. The aforementioned weight parameters are selected based on the importance of each video sequence’s quality and can be associated with some previous service level agreement (SLA) based prices. Some numerical analysis have been presented to validate the theoretical results and to verify the claims.

A Study on the water park quality enhancement strategy: Zone development

A Study on the water park quality enhancement strategy: Zone development

STRATEGI INOVASI SOSIAL PENGEMBANGAN MUTU SUMBER DAYA MANUSIA NELAYAN

From generation to generation fisherman has been making a live for himself and family mainly by extracting coastal and marine resources. There are a number of program development designed to promote fisherman quality of life. However, there is still little progress in fisherman living quality. As the consequences, their ability to suffice their own and family needs also low. The objectives of this research are.- (1) to explain and analyze, condition of fisherman resources quality based on competence, ability to fulfill consumer's need, income, and ability to suffice their own and their family need; and (2) to formulized effective fisherman resource quality enhancement strategy. Research has shown that: (1) low qualiy of fisherman resource, reflected on: low competence, low ability to fulfill needs, low income, low ability to suffice their own and their family needs for living; (2) Fisherman resource quality enhancement strategy divided on: (a) internal strategy, by applying social inovation through continuous non formal education (extension,) and (b) external strategy by increasing environment supports for fisherman effort according to their need.