Network Quality Research Articles

The Role of Relationship Quality in Collaborative Knowledge Networks and Organizational Learning in Enhancing the Quality of Hajj Services

The Role of Relationship Quality in Collaborative Knowledge Networks and Organizational Learning in Enhancing the Quality of Hajj Services

Enhancing VoIP quality in mobile networks through optimised MOS prediction and base station clustering with SDN

Enhancing VoIP quality in mobile networks through optimised MOS prediction and base station clustering with SDN

A developed DQ control method for shunt active power filter to improve power quality in transformers.

Power transformers are the most important component in power system. Exposing these transformers to the harmonic distortions causes additional heat losses, insulation stress, decrease in lifetime of insulation, and reduced power factor with decrease in efficiency of the system. The lifespan of distribution transformers is influenced by the fragility of power quality in power networks. Harmonic mitigation filters with robust control technique are required to reduce the harmonic effects on power transformer. Traditionally, synchronous reference frame (DQ) is employed to control the shunt active power filter (APF) for mitigation of harmonics in power transformers. DQ control of Shunt APF lacks merits of fast response, delayed operation due to phased lock loop under abnormal grid conditions leading to insufficient harmonic elimination. A developed DQ method based on detecting the positive and negative sequence components is proposed to precisely control the shunt APF for reliable operation of power transformer. This detection technique improves the response time, mitigate the harmonics effecting the operation of transformer and overall power factor. The proposed control system is evaluated under different abnormal operating scenarios and compared with traditional DQ method. The results and analysis confirm the efficacy of the developed DQ method in improving the power transformer performance.

Design and preparation of fluorescent covalent organic frameworks for biological sensing.

Covalent organic frameworks (COFs) are a new class of functional solids featuring several fantastic structural characteristics, including a great diversity of building units and cross-linking patterns, precise integration of building blocks, and adjustable topology of porous architecture. In addition to the above features, some COF samples are constructed with high-density conjugated fragments, which have unique potential advantages in fluorescence imaging, and thus may have great potential applications in bioimaging. Herein, this article summarizes the recent progress in the design and preparation of fluorescent covalent organic frameworks. We investigate the systemic correlation between the structural qualities of COF networks and biological sensors. Finally, the significant advantages, major challenges, and future opportunities of fluorescent covalent organic frameworks are discussed for the development of next-generation porous materials for sensing applications.

Introducing Artificial Neural Networks to predict the dimensional and micro-geometrical deviations of additively manufactured parts

The dependencies between process parameters and the resulting geometrical accuracy of additively manufactured parts are usually highly non-linear and thus complex to investigate and mathematically quantify. Therefore, the application of artificial intelligence techniques is promising to generate mathematical models that reduce effort and increase the prediction quality. The overall goal is to establish a procedure to automatically determine the optimal settings of the manufacturing process parameters to guarantee the highest geometrical accuracy of parts in additive manufactured production. This paper presents the first step towards this fully automatic procedure – the training and evaluation of a mathematical model based on artificial neural networks to quantify the effects of varying process parameters of a material extrusion process on both macro- and micro-geometrical performances. Therefore, a dataset is established based on the Design of Experiment of an additively manufactured part made from Polylactic Acid filament. The dataset is then used to train an artificial neural network that predicts the dimensional and micro-geometrical deviations of the manufactured parts. Finally, the evaluation of the network's prediction quality and reliability indicate that it is possible to predict the parameters linked to resulting print quality with a mean absolute error from 0.0004 to 0.036.

Ethnicity-based director network and earnings quality

ABSTRACT We exploit the ethnic value differences in Malaysia to investigate the role of ethnicity-based director network in earnings management. Using various centrality measures from social network analysis, we map the ethnicity-based network of 4,416 directors for a sample of 734 listed firms. Our results show central directors are associated with more aggressive earnings management, suggesting that the reciprocal relationships created by the network allow central directors to learn about earnings management techniques and/or to gain better resources to facilitate earnings management techniques. Whilst firms with more central directors in either the Bumiputera or non-Bumiputera network show a greater propensity to engage in earnings management, those in the non-Bumiputera network exhibit more aggressive earnings management practices.

Solvent retention capacity as a useful tool for quality evaluation of flours produced from Slovak bred wheat varieties

Abstract Wheat varieties (IS Danubius and MS Luneta) bred in Slovakia were assessed for their bakery potential. It was found that flour produced from IS Danubius was characterised by significantly higher level of wet and dry gluten content (30.91 and 20.53 %, respectively) and exhibited higher gluten swelling capacity (29.3 %) in comparison to commercial wheat flour that is usually available in Slovak markets. Solvent retention capacity (solvation in specific solvents) of the tested flours was also determined. The measurements showed that these parameters significantly differ from those determined for commercially available flour, whereas the flour produced from IS Danubius wheat variety had the highest lactic acid retention capacity (124.15 %). Correlation analysis indicated strong positive correlations between solvent retention capacity values and gluten characteristics. Furthermore, it was found that baked rolls prepared from IS Danubius flour showed significantly higher loaf volume compared to commercial wheat flour. This study proves lactic acid retention capacity and sucrose retention capacity as parameters enabling the prediction of gluten network quality in dough and of qualitative parameters of baked goods. From the sensory evaluation resulted that the highest score for overall acceptance was observed in IS Danubius baked rolls, which significantly differs from both MS Luneta and commercial wheat flour.

Co-Channel Interference Mitigation in 5g Network using Particle Swarm Optimization

The co-channel interference problem in 5G wireless networks is the subject of this research project. Even with the improvements brought forth by 5G, co-channel interference still degrades network speed and signal quality. Particle Swarm Optimization (PSO) is the method used in this study to minimize this interference and improve network performance by fine-tuning resource allocation settings. PSO-based interference mitigation, network modeling, simulation, an overview of the literature, and comparative analysis are all included in the study. The study is valuable for communication engineers since it explores PSO as a means of improving network quality and expanding our knowledge of wireless technology, even though it is restricted to co-channel interference and PSO. In the sphere of 5G wireless communication, this discovery represents a substantial advancement. The application of particle swarm optimization has shown to be innovative in addressing the complex problem of co-channel interference. Insights into the possibilities of clever optimization strategies for interference reduction can be gained from the applied models and results. With 5G networks set to revolutionize the digital environment, these findings provide a strong basis for future research efforts focused at refining interference avoidance techniques and ultimately boosting the performance and dependability of these networks.

Improvement of Mobile Network Performance Ranking Using QoSKPI Index in Nigeria

This article introduces a novel approach to enhancing mobile network operator (MNO) performance ranking in Nigeria through the development and implementation of a Quality of Service Key Performance Indicator (QoSKPI) Index. As mobile technologies evolve and reliance on mobile services increases, the need for robust and comprehensible network performance metrics becomes critical. This study addresses gaps in current methodologies, which often assess Quality of Service (QoS) parameters independently, by aggregating multiple QoS Key Performance Indicators (KPIs) into a single comprehensive metric. By applying the Analytical Hierarchy Process (AHP), the research develops a QoSKPI Index that combines various network performance indicators into a unified ranking system. This index is validated against consumer complaints and empirical data to ensure its relevance and accuracy in reflecting the actual network performance experienced by users. Significant findings illustrate the utility of the QoSKPI Index in benchmarking MNOs' QoS performance, providing a clear empirical basis for ranking that can influence user choice and regulatory strategies aimed at enhancing network quality across Nigeria.

ANALISIS QUALITY OF SERVICE JARINGAN INTERNET PADA UNIVERSITAS DAYANU IKHSANUDDIN

<p><em>Quality of service or quality of performance on the internet network of Dayanu Ikhsnaudiin University (Unidayan) needs to be maintained in good performance as one of the requirements for the formation of an integrated digital system. The purpose of this research is to measure the quality and service of the internet network at Unidayan so that it can determine the level of satisfaction of users using the network. The test method used in this study uses a quantitative analysis method by monitoring the internet network to measure throughput, delay, jitter and packet lost parameters at the access point which is determined as a sample in each building using the wireshark software. From the results of the research conducted, it can be concluded that the quality of service of the internet network at Dayanu Ikhsanuddin University is included in the Moderate category according to TIPHON with a percentage of 50% -74.75%.</em></p>

HOOK-UP APPS COMPLICATE VISIBILITY FOR RURAL QUEER PEOPLE: RESULTS OF A QUALITATIVE SCOPING STUDY IN THE UNITED KINGDOM

Before the millennium, finding other queer people often involved travelling to a queer venue in a city. Consequently, queer people have been at the forefront of internet technologies such as hook-up apps, namely $2 . Rural hook-up app use is under-researched, and queer visibility may be more carefully negotiated in rural areas than in cities. We carried out a qualitative study to establish whether location and/or technology use shaped social, sexual and romantic network creation and/or quality. Thirty-eight participants in cities and rural areas across the UK took part. We found hook-up apps to be the only source of local queer connection for some rural participants. Users speak of being drawn to these technologies when lonely, yet find they can contribute to feelings of isolation. Being visible, which the pictorial logic of some hook-up apps demands, can be difficult in rurality due to partial ‘outness’ about sexuality. Some fear meeting other app users in public in rural areas due to potential homophobia, yet lack access to private spaces. Some users find innovative ways to meet goals of friendship and community beyond the perceived affordances of sexual hook-ups, such as forming friendship and community groups via or beyond apps. This demonstrates that hook-up apps are inadequately-tailored tools for participants’ queerness, which extends beyond visible sexuality to negotiated communities and relationships of trust. This contributes to wider understanding of technology’s role in shaping social cohesion across diverse geographies and groups and the demands of visibility of such technologies on users.

Performance Analysis of Wi-Fi Wireless Networks In A Vortex Media Access And Reseller Broadband

The research aims to analyze network performance in an office and also a broadband reseller, to determine network quality through monitoring trials on servers and clients. The research uses data collection methods by conducting interviews. The second stage is needs analysis as a benchmark for network performance analysis. The next stage is monitoring the server and client to determine network speed. From research that has been carried out related to the analysis of WiFi wireless networks in small and medium office environments using custom network topology to suit needs, as well as broadband resellers also using custom network topology. The distribution of bandwidth from each place adjusts to their respective needs to get quality network connections The good thing is, that there are no specific standards for dividing bandwidth, it all depends on needs. The results of the data obtained from the analysis of the two places, of course from the analysis that the author has carried out, we can know the quality of the network connection from the two places, apart from that the topology design used by the office environment and also broadband resellers can increase knowledge about WiFi wireless networks and can be an example to open a business in the field of WiFi wireless networks that can provide faster WiFi performance with wider coverage.

Optimization of 4G LTE Network Bad Spot Area using Automatic Cell Planning Method

The 4G LTE technology is widespread in almost all regions in Indonesia, including Solok City in West Sumatra, where this study was conducted. Based on the results of the 1800 MHz frequency drive test, the RSRP value was in the good category (81.44%), but the SINR value was in the poor category (56.96%). Furthermore, the results of the 2100 MHz frequency drive test showed that the RSRP value was in the poor category (58.11%), and the SINR value was also in the poor category (54.62%). These results indicate that the area had poor network quality. Therefore, this study aimed to optimize the Bad Spot Area in Solok City using the Automatic Cell Planning (ACP) method. The ACP method optimization results show that at the 1800 MHz frequency, the value of the ten cells is in the interval -127.84 ≤ RSRP ≤ -99.34. Meanwhile, at the 2100 MHz frequency, the value of the seven cells is in the poor category, which is in the interval -136.39 ≤ RSRP ≤ -111.03. In the 2100 MHz frequency, there is a decrease in RSRP value in the poor cate-gory from 43.27% to 41.85%. SINR parameter optimization results of 2100 MHz frequency, the percentage of a very good category is higher with a value of 51.40% than 44.16% at 1800 MHz frequency.

Cargo Company Recommendation Study Based on Probabilistic Linguistic Term Set

The global economic structure is the main reason for changes in consumption habits and consumer behavior. Developing information technologies direct producers and consumers to e-commerce. Cargo services are an important link in the chain in the fast and effective operation of e-commerce. The growth in e-commerce has a driving force in the development of cargo services and cargo companies. Cargo companies can survive in global competition by being preferred by customers and increasing their number of customers. The change in the number of customers occurs by communicating the satisfaction or dissatisfaction with the cargo company to potential customers. This study deals with the preference levels of cargo companies serving in Turkey according to customer suggestions. The data obtained from the survey evaluations are processed and recommendation ranking calculations are made for cargo companies. Probabilistic Linguistic Term Sets (PLTS) are used to eliminate customer ambiguities in survey evaluations. Alternative cargo company recommendations are ranked based on the customers' past service experiences from cargo companies. Aras Cargo, MNG Cargo, PTT Cargo, Surat Cargo, UPS Cargo, Yurtiçi Cargo companies are evaluated according to price, personnel, speed, reliability and network qualities. The maximum deviation optimization method based on the Lagrangian function is used to calculate the weights of the cargo companies' attributes. The probabilistic linguistic cosine similarity method compares cargo companies pairwise under attributes and a similarity matrix is obtained for six cargo companies. The similarity matrix defines the alternative cargo company recommendation ranking based on customers' past experiences.

ESTIMATION OF PROBABILISTIC AND STATISTICAL CHARACTERISTICS OF THE INFORMATIONAL STATE OF A COMMUNICATION CHANNEL

The methods for determining the informational state of a communication channel based on the assessment of probabilistic and statistical characteristics of errors at the channel output are presented. Adaptive information protection methods in digital communication systems, where encoder parameters change depending on the channel state, require the use of network quality control methods based on determining the statistical characteristics of the channel. It is shown that the bit error probability in the channel is constant for the presented error generation process and is independent of the method of dividing information into code blocks. The methods for assessing the statistical characteristics of the channel are based on the topological representation of error generation processes over the length of code blocks. It is demonstrated that, with a fixed code sequence length and a constant bit error probability at the output of the information channel, different error distributions correspond to sets of n-sequences. With a known number of states in the likelihood transition matrix, calculation of observation intervals for counting erroneous blocks is proposed. The presented method of researching statistical characteristics, based on the assumption of error independence, allows for the development of algorithms and procedures for assessing the state of discrete communication channels. The evaluation of potential bounds and statistical characteristics for the decoding error probability enables establishing a connection between the topological characteristics of error sequence partitioning and code parameters. The work confirms that the proposed method allows the synthesis of algorithms for determining code parameters, whose numerical values are determined based on minimizing potential decoding error probabilities.

USING INTERPERSONAL RELATIONSHIPS AND SOCIAL NETWORK TO UNDERSTAND ELDER MISTREATMENT RECURRENCE

Abstract The incidence of elder mistreatment are often recurrent rather than one-time. The recurrence of mistreatment contributes to severe physical and psychological problems for victims and negative social consequences. Poor interpersonal relationships and social isolation are the main factors of mistreatment occurrence in the literature. However, very few studies have considered how the quality of interpersonal relationships and the level of social networks affect the likelihood of mistreatment recurrence. We used the National Social Life, Health, and Aging Project waves 1 (2005–06) and 3 (2015–16) data for longitudinal analyses (N=1,592). The quality of interpersonal relationships (i.e., supportive relationship, strained relationship) and the level of social networks (i.e., social engagement, social isolation, and feeling safe in society) were conceptualized using factor analysis to estimate factor scores. Logistic regression models were built to predict the risk of recurrent mistreatment using interpersonal relationship quality and the level of the social networks. Controlling for demographic variables, victims in wave 1 with support from interpersonal relationships are more likely to experience reoccurring mistreatment (p< 0.05, OR=1.58). Model interaction effects indicated that older adults with strained interpersonal relationships and low social engagement are most at risk of experiencing mistreatment recurrence. The surprising finding that supportive interpersonal relationships are positively associated with mistreatment recurrence might indicate that those who support older adults are potential perpetrators. Identifying potential perpetrators and assessing the quality of interpersonal relationships and social networks are essential to preventing mistreatment recurrence.

COGNITIVE, PHYSICAL, AND PSYCHOLOGICAL FUNCTION AND QUALITY OF LIFE IN PATIENTS WITH STROKE—A NETWORK ANALYSIS

Abstract This study aimed to identify the dynamic associations across cognitive, physical and psychological function, and quality of life using network analysis among Chinese patients with acute ischemic stroke (AIS). We conducted a cross-sectional study in 2021 that included a total of 636 patients with AIS from three stroke centers in Shanghai, Nanjing, and Linyi, China. Participants completed a complex battery of measures of cognitive function (Montreal Cognitive Assessment, MoCA), physical function (Barthel Index, Modified Rankin Scale), psychological function (Epidemiological Studies Depression Scale, CES-D) and quality of life (short version of Stroke-specific Quality of life scale, SS-QOL). We used the Gaussian Graphical Modeling to estimate the network structure. Cognitive and physical function were important prerequisites to quality of life. Specifically, the most central nodes (strength) in the network were quality of life, attention (cognitive domain), transferring to a chair, caring perineum/cloth at toilet and walking (physical domain). Cognitive function, particularly visuospatial /executive function and attention, and physical (dressing, feeding and drinking, up and downstairs and transferring to a chair) were positively related to quality of life; whereas depressive symptoms and disability were negatively related to quality of life. Factors contributing to quality of life are complex in patients with AIS. Attention, visuospatial /executive function from cognitive function and transferring, caring at toilet and walking from physical function were central nodes to the quality of life network. Interventions that target cognitive and physical function may have a potential to improve quality of life for stroke patients.

Analisis Perbaikan Profil Tegangan 20 kV pada Jaringan Distribusi Studi Kasus Perbaikan Profil Tegangan Ujung Penyulang BTL02 Gardu Induk Batulicin dengan Pembangunan Penyulang 20 kV Baru dan Pemasangan Kapasitor

The voltage profile in the distribution network is very important so that the power system is reliable and delivered with good quality. If the voltage profile in the power system does not meet the applicable standards, this will cause poor quality and continuity of the distribution network. If not resolved quickly, this can result in system failure. One of the causes of a poor voltage profile in a system is too long distribution lines. Long distribution networks can also cause large capacitance in the lines with air as the medium. With the capacitance in the line, reactive current will flow along the line and cause a drop in voltage and power losses in the system. In this paper, we will discuss improving the voltage profile on distribution lines that have end voltages that do not comply with PLN standards by planning the construction of a new 20 kV distribution line from the substation and installing capacitors as reactive power compensators in the system. These repair options will be compared by considering the profile of the system, savings, and financial feasibility when the repair options are implemented.

POSSIBILITIES OF IMPROVING THE VOICE SERVICES QUALITY IN 5G NETWORKS

Background. The introduction of fifth-generation (5G) networks creates new opportunities for fast and continuous data exchange, but there are still some problems with the quality of voice services in such networks. With the rapid development of technology and the further spread of 5G, there is a need to understand the impact of key aspects of 5G on voice quality. This requires research that can systematically analyse the features of 5G networks that affect the quality of voice services.
 Objective. Identification of ways to improve the quality of voice services in 5G networks. Assessment of key indicators of voice service quality in 5G networks. Determination of the best option for the gradual transition to the Standalone mode and the use of VoNR technology in the fifth generation networks.
 Methods. Analysis of factors affecting the quality of voice services in fifth-generation networks. Analysis of well-known publications on the implementation of 5G networks. Comparison of the implementation of Non-Standalone and Standalone modes in the 5G network. Testing of the modern EVS codec, which provides an opportunity to improve the customer experience.
 Results. Confirmation that 5G networks can significantly improve the quality of voice services compared to previous mobile communication technologies such as 4G and 3G. Certain factors that may affect the quality of voice services and require additional attention when planning and deploying 5G networks are identified. The optimal steps for the transition to the Standalone mode and the use of VoNR technology in fifth-generation networks are determined. The main differences in the QoS architecture between LTE and 5G are identified, and the purpose of DRB flows for separating traffic types and services is established.
 Conclusions. It has been confirmed that 5G networks can significantly improve the quality of voice services compared to previous technologies such as 4G and 3G. This is possible due to the broadband capabilities of 5G networks, improved data transmission, low latency, the use of an advanced EVS codec and reduced response time. However, certain factors, such as network coverage, optimisation level and traffic characteristics, can affect the quality of voice services and require additional attention when planning and deploying 5G networks. The QoS management architecture consists of QoS flows, which allow separating packet assignment to flows (managed by the CN) from the assignment of DRB flows (managed by the RAN). As 5G networks are being rolled out gradually, it is important to properly integrate the 5G domain into the existing telecoms provider's network. The transition from Non-Standalone to Dual connectivity is a necessary step for the implementation of VoNR technology in Standalone mode. Using the modern EVS codec allows not only improving the customer experience, but also introducing new voice services.

Analisis Kualitas Jaringan Internet Wireless LAN PT. Teladan Prima Agro

The internet or interconnected networking is a network that connects computers of various types that form a network system that covers the entire world. This research aims to determine the quality of the internet network of PT Teladan Prima Agro (PT TPA). The research method used is Quality Of Service (QoS) with data retrieval techniques using Wireshark software. The results showed that the average QoS index of the PT. TPA office internet network based on the TIPHON standard obtained the result "Satisfactory". From the research results it can be concluded that the average level of internet network quality in the PT. TPA office area is in the good category and can support the performance of staff / employees in transferring data.