Compilation Method Research Articles

Use of Artificial Intelligence in Fashion Sales Techniques

This article discusses the prominent elements of artificial intelligence innovation in fashion sales techniques and details artificial intelligence-supported sales strategies such as virtual reality, augmented reality, virtual try-on rooms, smart mirrors, artificial intelligence-supported style consultants, visual search technologies and chatbot. This study was written with the compilation method. The compilation method is written with the aim of collecting the literature written so far on the research subjects from a scientific perspective and making a collective contribution to the literature. While virtual reality and augmented reality offer customers interactive shopping experiences and the opportunity to try products in their own environment without going to the store, virtual trial rooms and smart mirrors; Studies have shown that it has the potential to make online and face-to-face shopping easier, faster and more interactive. It has been stated that visual search technologies enable customers to easily find the products in the style they want, and artificial intelligence-supported style consultants and chatbots play an important role in optimizing the shopping experience by making personalized suggestions to customers. New and innovative solutions can be produced by conducting studies that encourage interdisciplinary collaboration between fashion designers, software developers and academicians. In this period when we live intertwined with technology, artificial intelligence-focused modules can be added to academic curricula for students studying in the field of design, and these modules will provide benefits for students to gain knowledge and skills on how to integrate artificial intelligence technologies into fashion design. The effective use of artificial intelligence in fashion sales techniques will provide a competitive advantage against competitors in the industry.

Context-aware coupler reconfiguration for tunable coupler-based superconducting quantum computers

Abstract Crosstalk, caused by unwanted interactions from the surrounding environment, remains a fundamental challenge in existing superconducting quantum computers (SQCs). We propose a method for qubit placement, connectivity, and logical qubit allocation on tunable-coupler SQCs to eliminate unnecessary qubit connections and optimize resources while reducing crosstalk errors. Existing mitigation methods carry trade-offs, like increasing qubit connectivity or software-based gate scheduling. Our method, the Context-Aware COupler REconfiguration (CA-CORE) compilation method, aligns with application-specific design principles. It optimizes the qubit connections for improved SQC performance, leveraging tunable couplers. Through contextual analysis of qubit correlations, we configure an efficient coupling map considering SQC constraints. We then apply the SWAP-based Bidirectional Heuristic Search (SABRE) qubit mapping method and crosstalk-adaptive scheduling to further optimize the quantum circuit. Our architecture reduces depth by an average of 18% and 27%, and by up to 50% and 60%, compared to lattice and heavy-hex architectures, respectively. With crosstalk optimization through adaptive scheduling, we achieve performance improvements of 35%, 20%, and 160% on fully-enabled grid, lattice, and heavy-hex topologies, respectively.

The Compilation Methods of Lu Xun's “Gu Xiao Shuo Gou Chen” and its Pros and Cons: with a Focus on the Compilation of “Ming Xiang Ji”

Lu Xun’s（鲁迅） “Gu Xiao Shuo Gou Chen”（《古小说钩沉》） is a masterpiece in the compilation of Chinese ancient novels. In the compilation of “Ming Xiang Ji”（《冥祥记》）, Lu Xun carefully corrects illogical elements in the stories by comparing various books. He meticulously sifts through materials related to “Ming Xiang Ji”, discerning and removing what he deems as spurious works to achieve the goal of separating truth from falsehood. Additionally, he not only focuses on the materials related to “Ming Xiang Ji” but also incorporates materials from other books into the compilation of “Ming Xiang Ji”. Ultimately, Lu Xun connects scattered ancient novel texts from various books to create a more detailed and complete narrative. It is evident that Lu Xun's compilation goes beyond simple juxtaposition and listing; instead, it is based on various academic judgments, involving careful revision, compilation, and even restructuring of the text. While most of Lu Xun’s methods have solid justifications, there are points of contention. Firstly, deleting some novel stories that labelled as “Ming Xiang Ji” without providing explanations. In fact, these stories cannot be completely ruled out as possibly originating from “Ming Xiang Ji”. Secondly, in the process of connecting and merging, the creation of a “Lu Xun version” of the ancient novel text may deviate from the original ancient novels. Such interventions by later scholars in the compilation of literary texts may potentially mislead current scholarly research, warranting attention and caution.

Recent Advances and Implications for Aviation Emission Inventory Compilation Methods

With the rapid development of industrialization and urbanization in China, civil aviation plays an increasingly important role in the transportation industry. However, pollutants and greenhouse gas (GHG) emissions from civil aviation are becoming an increasingly concerning environmental problem. In order to mitigate the resulting environmental pollution, such as air quality deterioration, regional and global climate warming, and declining human health, more and more efforts have been devoted to reducing both pollutants and GHG emissions. Among these efforts, emissions inventories from civil aviation provide a basis for quantifying pollutants and GHG emissions, establishing evaluation standards of environmental impact, and formulating management policies for both air quality improvement and climate change mitigation. In this paper, we reviewed both compilation approaches and data collection methods for civil aviation emissions inventories, introduced several typical calculation methods for aviation emissions inventories, and analyzed specific cases of actual application based on typical methods of inventory compilation. We also described in detail the activity level and emission index calculation methods of several pollutants and greenhouse gases. Furthermore, based on the above research methods, four typical application cases were investigated, including a specific airport, the landing and takeoff (LTO) cycle of a nation, the entire period with the LTO cycle and the climb–cruise–descent (CCD) phase of a country, and global emissions inventories from civil aviation. The results suggest that, in addition to quantifying the emissions of both pollutants and GHG produced by civil aviation, the selection of inventory compilation methods is likely to be important for improving aviation emission inventory accuracy and for further reducing the environmental, economic, and health impacts resulting from aviation emissions. Moreover, this paper can also provide a reference and theoretical basis for the development of aviation emission inventory compilation methods in the future.

LITERARY AND CONCEPTUAL FOUNDATIONS OF SHAKARIM KUDAIBERDIULY’S WORKS

The article is devoted to the consideration of the conceptual foundations of Shakarim Kudaiberdiuly’s works. The purpose of the study is to identify the literary and conceptual foundations of Shakarim’s work. The article analyzes the reflection of the concepts of conscience, morality, religion in the poet’s poems and poems, which form the conceptual basis of Shakarim Kudaiberdiuly’s work. Examples and analyzes were made from the works of the poet. The article uses methods of compilation, systematization, comparison, conceptual analysis, formulation. It will also focus on the work of Sh.Kudaiberdiuly «Chronicle of Turkish, Kyrgyz, Kazakh and Khans». In the Kazakh chronicle, the wisdom qualities of the people, their worldview, beliefs, their fate, courage, work, and morals of individual people on this path are distinguished. In the article, the author focuses on the value of the Chronicle and considers Sh.Kudaiberdiuly’s «Chronicle of Turkish, Kyrgyz, Kazakh and Khans» as a work that tells the history of the Kazakh and Turkic people, their various historical processes in the literary language, in connection with the National worldview. In the final part, the author comes to the conclusion that the works of Shakarim Kudaiberdiuly, created as a result of his spiritual searches, deeply concerned with universal human problems. The results of the study can be used in research in the fields of «modern Kazakh literature», «history of Kazakh literature», «theory of literature». Keywords: literature, poetry, chronicle, poem, poet, concept, conceptual analysis.

Air conversion of pyrolysis products of hydrocarbon raw materials into synthesis gas (H2+CO) for the production of electrical energy using solid oxide fuel cells

The article discusses the technology of combined production of electrical and thermal energy using preliminary air conversion of the pyrolysis liquid of automobile tires into synthesis gas, with its subsequent supply to the battery of an electrochemical generator. The electrical power of the installation is 100 kW, the network heater is 126 kW. The main energy characteristics of the installation were determined using the methods of physicochemical modeling and compilation of energy balances. It has been shown that the specific consumption of pyrolysis liquid for the production of electrical energy is 108 g/kW∙h (169 g r.f./(kW∙h)), and the heat consumption is 30 kg/GJ (196 kg r.f./Gcal). The specific consumption of natural and conventional fuels is compared with the specific fuel consumption at power plants operating on hydrocarbon natural fuels. They are slightly inferior to them, with the exception of the specific electricity generation from external heat consumption. Fuel utilization rate 46.4%. Recommendations are given for the use of pyrolysis liquid to generate electrical and thermal energy using a high-temperature fuel cell based on SOFC.

The Giant Myth in Zazaki Folklore

Mythology comprises sacred narratives involving symbolic and allegorical stories such as gods, goddesses and the creation of the universe, which change over time and are influenced by the collective imagination of societies and passed down from generation to generation. Mythological elements, which have influenced many communities worldwide, are also crucial subjects to be explore and evaluate in Zaza folk literature. Indeed, the impact of myths and mythological elements on the cultural fabric of the Zaza people continues to shape their societal life from past to present. This study identifies and interprets the giant myth in Zaza folktales, legends, and folk stories. The aim is to delve into the depths of this giant myth in these genres, bringing its mythological elements to light and analyzing them. Rather than traditional fieldwork or compilation methods, this study prefers to focuses on compiled folk narratives and materials gathered from Zaza works to examine these mythological elements. This research is an important step towards understanding how the giant myth, ingrained in the cultural memory of the Zaza people, has evolved and influenced societal life. It aims to explore the depths of Zaza mythology and introduce this cultural treasure to a broader audience.

Research on the Method of Whole Vehicle Load Spectrum Compilation Based on Road Surface irregularity

Research on the Method of Whole Vehicle Load Spectrum Compilation Based on Road Surface irregularity

Influencers and influencer marketing – indispensable part of the business of modern companies

With the growth of popularity and the development of social networks, appeared influencers and developed a new type of marketing, influencer marketing. Today, influencers, due to the influence they have on people, and influencer marketing, which records excellent results and helps the company achieve its business goals, are an indispensable part of the business of every modern company. The purpose of the article is to explain why influencers and influencer marketing are an important, indispensable part of the business of modern companies. Research methods which are applied in the paper are description and compilation method. By observing and researching the influence that social networks and influencers have on them authors concluded that influencer marketing will certainly continue to develop in the future and that it will gain even more importance for business operations. The paper presents the knowledge that the authors who were involved in research on influencers and influencer marketing have come to over the years. The information presented in the paper will serve other authors in researching this field.

The Importance of Brand Equity and Branding in Terms of Product / Service Preference and Internationalization: An Analysis of Civil Air Transportation with Marketing Strategies

In this study, by emphasizing the importance of brand equity and branding in terms of internationalization, the effects of quality brand perception and a strong brand positioning on product/service preference in civil airline transportation have been tried to be explained in line with service marketing strategies and through descriptive content analysis method. The data collected from the literature about civil air transport companies with the traditional compilation method have evaluated in detail through descriptive content analysis. According to the results obtained, it has been understood that the customer-consumer satisfaction factors to be obtained from the purchased products/services and their differences from competing businesses should be explained to customers/consumers in detail, and suggestions have been made to civil airline companies in order to be more preferred and gain customer loyalty.

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province.

Global warming, caused by greenhouse gas emissions, is a major challenge for all human societies. To ensure that ambitious carbon neutrality and sustainable economic development goals are met, regional human activities and their impacts on carbon emissions must be studied. Guizhou Province is a typical karst area in China that predominantly uses fossil fuels. In this study, a backpropagation (BP) neural network and extreme learning machine (ELM) model, which is advantageous due to its nonlinear processing, were used to predict carbon emissions from 2020 to 2040 in Guizhou Province. The carbon emissions were calculated using conversion and inventory compilation methods with energy consumption data and the results showed an "S" growth trend. Twelve influencing factors were selected, however, five with larger correlations were screened out using a grey correlation analysis method. A prediction model for carbon emissions from Guizhou Province was established. The prediction performance of a whale optimization algorithm (WOA)-ELM model was found to be higher than the BP neural network and ELM models. Baseline, high-speed, and low-carbon scenarios were analyzed and the size and time of peak carbon emissions in Liaoning Province from 2020 to 2040 were predicted using the WOA-ELM model.

Accelerated fatigue bench test method for rubber vibration isolators based on load spectrum compilation

The present study is focused on the development of a novel method for compiling load blocks to accelerate the fatigue bench test of rubber vibration isolators. This approach involves three main steps: Firstly, a uniaxial tensile fatigue test is conducted on rubber specimens under a constant amplitude load. According to the fatigue test data, a rubber fatigue life prediction model is established. Secondly, the mount load spectrum is statistically analyzed, and the fatigue damage distribution of the mount is calculated using the rubber fatigue life prediction model. Lastly, following the principle of damage equivalence, the load spectrum is compiled into load blocks. The fatigue bench test of the mount is then conducted using both the load spectrum and the load block as loading data, respectively. The test results demonstrate that the fatigue failure locations of the mounts are essentially identical under both loading data types, verifying the effectiveness of the proposed load block compilation method.

Language-based machine perception: linguistic perspectives on the compilation of captioning datasets

Abstract Over the last decade, a plethora of training datasets have been compiled for use in language-based machine perception and in human-centered AI, alongside research regarding their compilation methods. From a primarily linguistic perspective, we add to these studies in two ways. First, we provide an overview of sixty-six training datasets used in automatic image, video, and audio captioning, examining their compilation methods with a metadata analysis. Second, we delve into the annotation process of crowdsourced datasets with an interest in understanding the linguistic factors that affect the form and content of the captions, such as contextualization and perspectivation. With a qualitative content analysis, we examine annotator instructions with a selection of eleven datasets. Drawing from various theoretical frameworks that help assess the effectiveness of the instructions, we discuss the visual and textual presentation of the instructions, as well as the perspective-guidance that is an essential part of the language instructions. While our analysis indicates that some standards in the formulation of instructions seem to have formed in the field, we also identified various reoccurring issues potentially hindering readability and comprehensibility of the instructions, and therefore, caption quality. To enhance readability, we emphasize the importance of text structure, organization of the information, consistent use of typographical cues, and clarity of language use. Last, engaging with previous research, we assess the compilation of both web-sourced and crowdsourced captioning datasets from various perspectives, discussing factors affecting the diversity of the datasets.

Compilation Method of Flight Service Environment Spectrum Based on Altitude Features and Fuzzy Clustering

Compilation Method of Flight Service Environment Spectrum Based on Altitude Features and Fuzzy Clustering

Exploring automatic methods for the construction of multimodal interpreting corpora. How to transcribe linguistic information and identify paralinguistic properties?

AbstractIn corpus-based interpreting studies, typical challenges exist in the time-consuming and labour-intensive nature of transcribing spoken data and in identifying prosodic properties. This paper addresses these challenges by exploring methods for the automatic compilation of multimodal interpreting corpora, with a focus on English/Chinese Consecutive Interpreting. The results show that: 1) automatic transcription can achieve an accuracy rate of 95.3% in transcribing consecutive interpretations; 2) prosodic properties related to filled pauses, unfilled pauses, articulation rate, and mispronounced words can be automatically extracted using our rule-based programming; 3) mispronounced words can be effectively identified by employing Confidence Measure, with any word having a Confidence Measure lower than 0.321 considered as mispronounced; 4) automatic alignment can be achieved through the utilisation of automatic segmentation, sentence embedding, and alignment techniques. This study contributes to interpreting studies by broadening the empirical understanding of orality, enabling multimodal analyses of interpreting products, and providing a new methodological solution for the construction and utilisation of multimodal interpreting corpora. It also has implications in exploring applicability of new technologies in interpreting studies.

Research on Compilation Methods for Fixed Iteration Count Loop Dual-Mode Unrolling in VLIW Architectures

Research on Compilation Methods for Fixed Iteration Count Loop Dual-Mode Unrolling in VLIW Architectures

Industrial Robot Digital Twin Application Technology

This paper mainly discusses the core position of the course "Industrial robot Application Technology" in the national double high construction professional group and the innovation of teaching methods. The "task-driven, process" of production-teaching collaboration built through digital twin technology aims to cultivate students' design development. The importance of the course "Industrial Robot Application Technology" is introduced. Teachers' teaching innovation team, national production training base and national science and technology innovation service platform support the digital development of this technology in intelligent manufacturing to create a digital twin teaching platform. In the course material content-based teaching design and the docking of industrial needs, including and industrial robot operation certification. In addition, the action-oriented teaching concept, ideological and political materials are integrated into the teaching design, and the paper emphasizes the teaching material compilation method and three-dimensional teaching material design. At the same time, it also has a potential impact on the expected model innovation of the application and promotion of teaching materials and continuing education.

The plant checklist: Building the foundation of botanical knowledge in South Africa

AbstractTaxonomic research and resultant checklists play a crucial role in underpinning all biodiversity research. Compiling an inventory of plants that occur in a region or country is a complicated task that can be subject to errors and incompleteness, which in turn can hinder other fields of botanical research. South Africa has put in place a rigorous and defensible method of compiling and updating a national checklist, which can serve as a guide to any country in the process of doing so. The process of creating the checklist and significance of this is presented, and the governance, including the choice of classification followed and use of common names, is discussed. Methods for compilation and dissemination of the checklist are described.

Compilation method of a catalogue of reasonable worst-case rainfall series for flash flood simulations of short, convective rainstorms

In this study, a categorisation method was developed and applied to identify, select and rank reasonable worst-case rainfall storm events with time-series resolution of one minute and duration of up to one hour. The method yields a catalogue of 24 reasonable worst-case rainfall series, i.e. potentially catastrophic events that could be used for safe-to-fail flash flood model scenarios, thus encouraging the testing of critical infrastructure and pedestrian safety for people trapped in floods. The identified 24 events were shown to be considerably more extreme than corresponding design storms, with a return interval of 100 years. In the selection of the extremes, special care was taken to consider different hazard attributes, which are associated with intrinsically different observed hyetograph shapes, including rectangular, short and long triangle, and double peak shape categories. Hydrodynamic simulations were carried out using the 2D robust shallow water model hms++ to quantify the flooding impact of the 24 rainfall scenarios in a small urbanised catchment, which enabled the ranking of the scenarios based on different hazard attributes. Overall, the rectangular and long-triangle events showed the highest total discharge, and the rectangular events comprise both the longest duration for hazard velocity and deep flooding. The long-triangle events presented the highest peak discharge and peak water depths. The short-triangle ones showed the highest flashiness (shortest time to peak), whereas the double peak events yielded the longest time to peak. The ranking emphasised the importance of the hyetograph shape characteristics of extreme storms and which needs to be taken into account in flash flood management. The novel categorisation method is easily transferable to other regions, if high-resolution rain series are available.

Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials

Abstract. Dams have proliferated along the Mekong, spurred by energy demands from economic development and capital from private companies. Swift dam evolution has rendered many databases outdated, in which mismatches arise from differing compilation methods. Without a comprehensive database, up-to-date spatial assessment of dam growth is unavailable. Looking at future development, hydropower potential specifically within the Mekong remains to be systematically evaluated. In this paper, we offer (1) an open-access and unified database of 1055 dams, (2) a spatiotemporal analysis of dams on a sub-basin and country level from the 1980s to the post-2020s, and (3) a grid-based assessment of the theoretical basin-wide hydropower potential using present-day discharge from the CaMa-Flood model (2011–2015, 0.05°) and future discharge from the WaterGAP2 model used for ISIMIP2b (2021–2040, 0.5°). The dam count of 1055 is more than twice the largest existing database, with 608 hydropower dams generating a boom in hydropower capacity from 1242 MW in the 1980s to 69 199 MW post-2020s. While China had the largest capacity increase from the 2000s to the 2010s (+16 854 MW), Laos has the most planned dams and the highest projected growth post-2020s (+18 223 MW). Based on present-day discharge, we estimate a basin-wide hydropower potential of 1 334 683 MW, where Laos is the highest at 514 887 MW. Based on future discharge modeled with climate change, hydropower potential could grow to over 2 000 000 MW. Laos and China are the highest at around 900 000 MW each, together forming over 80 % of the total potential. Our database facilitates research on dam-induced hydrological and ecological alterations, while spatiotemporal analysis of hydropower capacity could illuminate the complex transboundary electricity trade. Through both spatiotemporal and hydropower potential evaluation, we address the current and future vulnerability of countries to dam construction, highlighting the need for better planning and management in the future hydropower hotspot Laos. The Mekong dam database is publicly available at https://doi.org/10.21979/N9/ACZIJN (Ang et al., 2023).