bluuebunny/crossref_metadata_2025 huggingface dataset:
The state social insurance budget in terms of budget classification
Authors: Mardari Liliana
Published: July 2023

The unified system of codes that groups and systematizes budgetary indicators according to certain criteria reflects the budgetary classification, which is important for policy formulation, identifying resource allocation, establishing accountability for policies and performance, and day-to-day budget management. The purpose of the research is the analysis of the state social insurance budget in terms of budget classification depending on the time factor. The systematization of budgetary indicators favors the elaboration of policies in the field of state social insurance and social assistance, the state social insurance budget and the medium-term budgetary framework, the monitoring and execution of the state social insurance budget, the performance within the programs, in order to ensure the financial stability of the public system. social insurance. The methods applied in the research process are: dynamic analysis, comparison, observation, deduction. The research results reflect the state social insurance budget for the period 2016-2020 according to the budgetary classification system applied in the Republic of Moldova, approved in 2015 and includes the functional, organizational, source, economic and program classification. Another aspect of the research is the executed / approved analysis of the state social insurance budget in the same way according to the budgetary classification.
COVID-19 Pandemic – economic impact and reaction
Authors: Popa Andrei
Published: July 2023

The COVID-19 pandemic has crippled the global economy with losses of life and severe economic impact. The global economy passed through a simultaneous supply and demand shocks, caused by the curtailment and even cessation of activities with a direct presence at the workplace, which led to a slowdown in production and a reduction in the volume of services with physical proximity. At the same time, international transaction costs had increased due to the collapse of freight logistics. All these occurred a reduction in employment, losses of income, and ultimately a decrease in consumer demand. The study highlights the economic impact of the COVID-19 pandemic and economic policy options to mitigate its effects. The study concludes that, on the one hand, macroprudential and fiscal policies, as well as government financial interventions, have contributed to mitigating the economic impact of the COVID-19 pandemic, and, on the other hand, companies around the world have had to adapt to changing circumstances and consumers behaviours, and to find opportunities in times of crisis. These measures had required a lot of innovation, creativity and the development of new business models. This paper presents a summarizing study on the result of the global economic consequences of the COVID
Integration mechanisms for small and medium-sized enterprises in the Republic of Moldova into regional clusters
Authors: Calugareanu Irina
Published: July 2023

In the context of increased global competitiveness, the cluster is one of the fundamental types of economic spatial growth. The article highlights the integration mechanisms of small and medium enterprises into a single value chain as the primary feature of the cluster, which is made possible by the compact location, attraction to agglomerations. The article takes into account a certain variety of approaches to the essence of the cluster, presented in the works of national and foreign scientists.
Energy efficiency strategies
Authors: Platon Nicolae , Vieru Tatiana
Published: July 2023

The unprecedented challenges caused by the increasing dependence on energy imports and the reduced amount of energy resources, as well as climate changes have greatly affected the economies of European states and their energy security. Due to this, many specialists consider that as the society develops, we will need all available energy resources, and the key problem that has to be solved is the optimization of consumption and enhancement of energy efficiency. In order to find a solution, it is necessary to develop and implement sustainable strategies aimed at enhancing country's energy efficiency in line with European practices, while reducing excessive and unjustified consumption.
Ensuring security of supply chain through the implementation of ISO 28001
Authors: Todos Irina
Published: July 2023

Locally as well as internationally, supply chains are subject to security risks and incidents, which can have negative influences on both trade and the economy as a whole. It is also attested that the industrial revolution 4.0 imposes mandatory conditions on companies to expand and connect all internal processes with customers and suppliers, in order to adopt effective strategies for the supply chain. The model that offers practitioners a modern tool to streamline international supply chains and ensure security is the ISO 28001 international standard, which recognizes the complexity of supply issues, because they are dynamic and involve many business actors (organizations, partners). Ensuring an adequate level of security of the international supply chain is possible with the partial or total implementation of the ISO 28001 standard. This standard can be considered as a tool of strategic supply chain management, with the help of which any company could increase the competitiveness of the chain. This paper comes with a theoretical approach to what supply chain and international supply chain means, and how it can be improved by applying/implementing the requirements of the ISO 28001 standard. The research objectives were achieved by using traditional research methods, such as theoretical, empirical qualitative and quantitative. The literature was researched, both in traditional format, but also in the form of electronic publications in the field of procurement, international supply chains and international ISO standards.
Peculiarities of a customer-oriented approach to company management
Authors: Zavadska Diana
Published: July 2023

The article proposes an approach for uncovering the meaning of a company's customer orientation. Groups of characteristic features of the scientific category “customer orientation” are provided (human capital and management; operational model and business processes; business model). The focus is on the fact that changes in companies' marketing activities occur as a result of constantly changing markets and consumer habits.
Firm’s risk assessment process as an component of the quality management system of an auditing firm
Authors: Lapitkaia Liudmila
Published: July 2023

International Standard on Quality Management (ISQM) 1, Quality Management for Firms that Perform Audits or Reviews of Financial Statements, or Other Assurance or Related Services Engagements sets out the provisions on the quality management system of an audit firm. This article discusses the issues of determining the quality management system of an audit firm, according to the author, this system includes a number of additional elements. The author classifies the risks that can negatively affect the quality management system of an audit firm. Particular attention should be paid to the quality management system for small audit firms, the author offers a number of working documents to identify risks for such firms.
The influence of cultural factors upon the reactions of consumers to the use of shock tactics in advertising
Authors: Gaugas Tatiana
Published: July 2023

In modern society advertising provokes, stimulates, inspires, motivates, irritates and disturbs, but because of its abundance it sometimes becomes a rather unnoticed detail of the environment. To grab consumers' attention and differentiate themselves among competitors, companies are increasingly using shock tactics in advertising. Meanwhile, shock advertising is designed to emotionally affect and stir thinking, touch people at a fundamental level and encourage action. Shock advertising is a conscious attempt to shock the consumer by violating society's social, cultural, moral, and religious values. Most studies to date have focused on the causes of shock and the impact of shock advertising on consumer behaviour; however, there is a lack of scientific research that would confirm the relationship between consumer responses to shock advertising and cultural factors. The results of the scientific research introduced in the article showed that the nature and intensity of consumer response is determined by the demographic, social and cultural factors of the target segments as well as by different advertising contexts. The purpose of the article is to provide the theoretical foundation for the impact of cultural factors on potential consumer reactions to shock advertising. The purpose of the article is to provide the theoretical foundation for the impact of cultural factors on potential consumer reactions to shock advertising. In order to analyse the cultural aspects of consumers in the Republic of Moldova and understand their impact on possible reactions to shock tactics in advertising, Geert Hofstede's 6 cultural dimensions model was used. The importance of this factors, the advantages and dangers are discussed in this article.
Benefits of energy efficiency investments in the construction sector
Authors: Aleksandrov Emil
Published: July 2023

The construction sector has in recent years made a particular contribution to the GDP growth of countries, despite global financial uncertainty. Investments in energy efficiency in the construction sector are crucial to achieve the objectives set in the European Union and achieve an optimal transition to a low-carbon, environmentally friendly building stock. Highly efficient buildings are considered to bring significant benefits in a number of aspects. Investments in energy efficiency can be useful for socio-economic, energy, health, etc. Sectors. This report aims to specify the types and summaries the benefits of energy efficiency investments in the construction sector. The applied qualitative approach can support the development of appropriate financing options supporting energy performance in the construction sector, which will be a starting point for overcoming obstacles to energy efficiency improvement procedures.
The circular economy as a strategic option for increasing business sustainability
Authors: Stoian Eugeniu
Published: July 2023

The limitation of natural resources and their depletion is a global problem facing contemporary society as a result of the challenges generated worldwide by the effects of climate change, the theme of a more environmentally aware and sustainable economy is increasingly present in the discourse of both authorities - public policy makers and economic operators who are directly affected by these effects. Linked to sustainable development, the concept of the circular economy is increasingly seen and interpreted as a lever for sustainable progress that is becoming dominant in the business segment and also in the consumption patterns towards which modern consumers are moving. The circular economy has become part of the definition of the future in business. As a core component of sustainable development, the circular economy involves a number of concepts such as sharing, renting, reusing, repairing, refurbishing and recycling materials and products. This approach has the effect of extending the life cycle of products and optimising the consumption of raw materials and energy, such as minimising the amount of waste generated, seeking and using renewable sources of energy, reducing the carbon footprint and being more environmentally friendly.
The evolution of the banking supervision framework in Republic of Moldova
Authors: Dermengi Daniela
Published: July 2023

This article is a summary of all new regulations and reforms carried out by the National Bank of Moldova aimed to strenght the banking supervision. Also, the article presents the content and the results of the Twinning projects that followed the conclusion of the Association agreement Moldova-European Union, in 2014 year. The prudential requirements regarding the capital and liquidity indicators are presented in evolution, as well the dynamic of the recorded data by the banking system in order to conclude how liquid and well capitalized it is. The article is focused on the new requirements imposed by Basel III and the reforms that have changed at all the banking legislation framework and that are going to bring new supervision perspectives to the financial sector as a whole.
Organizing a cyber blockade
Authors: Ohrimenco Serghei , Cernei Valeriu
Published: July 2023

Traditionally, experts considered several types of blockades, including sea, land, with the development of aircraft construction - air, with the advent of space technology and special satellites - space. With the rapid development of computer technology and communication tools, the information blockades have been introduced. Each type of blockade had its own historical characteristics; they differed in costs and, of course, efficiency. In the second half and at the end of the 20th century, scientists operated the term cyber blockade and restrictions in the field of cyberspace. A number of definitions of cyberspace are provided, since this category changes and is refined depending on the rapidly developing technical, technological, economic and social aspects of our life. Because of the threat they pose, cyber-attacks and cyber warfare receive significant attention once society and business is developing. The growing dependence of countries on the cyberspace can play a negative role in the process of confrontation; the enemy can attack those areas where cyberspace is a decisive element.
Protection of the citizens’ rights in terms of informatization issues in the conditions of digital transformations
Authors: Rybalchenko Ludmila
Published: July 2023

Digital space is an integral part of the state and society. This indicates the necessity of its guaranteed protection. Significant increase of the dependence of the country from the information technologies and willingness of the competitors and criminals to use t he global network as the place to create various threats in the economic, political, military and social spheres should be counteract and created strategic measures for strengthen and protection of the network from the intervention of criminals. The biggest threat is the internal criminals, who enjoy confidence in the organizations where they work, and have access to the vital systems and data. Criminals, by providing their activity, such as theft of the secret data or intellectual property, can cause financial losses or damage to the reputation of the organization. They also can cause threat to destructive cyber activity if they will use a special knowledge or access to conduct the attack or facilitate it in order to disable, degrade or destroy the critical services of the organizational network.
The discrepancy of managing decarbonization & profitability
Authors: Cruceru Corina , Dumitrascu Danut Dumitru
Published: July 2023

When looking at scope of the decarbonization effort, the sector(s) being targeted, the timeline for achieving the goals, and the specific decarbonization technologies and approaches being used there are various factors impacting the cost of decarbonization which in effect might put profitability of traditional business models at risk. In general, when considering the extended scope of decarbonization (aiming not only at production facility but also involving usage of the products) can involve significant upfront costs to transition from fossil fuel-based energy sources to cleaner alternatives such as renewable energy sources or nuclear power. Within this paper the cost of decarbonization relate to the cost of transformation. Even tough the cost of not decarbonizing and dealing with the impacts of climate change are not fully estimable, both in economic and human terms, the investment in the transformation involves significant upfront invest. Looking at similar transformation initiatives this paper will provide a framework on what to consider when transforming and which cost buckets with impact on profitability need to be considered including government subsidies, tax incentives, and carbon pricing policies can help to reduce the cost of decarbonization and provide a level playing field for low-carbon technologies to compete with fossil fuels.
Riesgo de desastres socionaturales y comunidad LGBTIQ+: visibilización y propuestas para la inclusión de diversidades de género y sexualidades en las políticas territoriales de reducción de riesgo
Authors: Albarrán Rebaza Kevin , Marin Ríos Juliette
Published: July 2023

Estudios feministas y de riesgo de desastres han demostrado la relevancia del enfoque de género para la visibilización, análisis y reducción de desigualdades socioespaciales. Este artículo interroga cómo se incluyen en las políticas públicas relativas a gestión del riesgo de desastres a personas de las diversidades o disidencias sexogenéricas. Desde un análisis cualitativo (análisis de discurso de documentación y entrevistas), se evidencia la brecha para esta inclusión a partir de un estado del arte de estudios internacionales y de políticas públicas latinoamericanas, para luego enfocarse en Chile. El estudio propone entonces dos intersecciones: entre instrumentos políticos de reducción del riesgo y aquellos de protección de los derechos de personas LGBTIQ+; entre estos instrumentos públicos y las experiencias, conocimientos y visiones de personas de las diversidades sexogenéricas. Concluye con tres hallazgos: 1. Las políticas latinoamericanas y chilenas asociadas al riesgo de desastres omiten a las personas LGBTIQ+ como grupos sociales a considerar particularmente por una comprensión binaria del género. 2. Esta omisión es problemática ya que revela una carencia y una brecha con los compromisos y avances normativos en términos de protección de personas y comunidades LGBTIQ+. 3. Esta omisión es grave, ya que excluye, profundiza y reproduce prácticas o condiciones de vulneraciones de derechos evidentes según personas LGBTIQ+. El estudio propone pistas de investigación para avanzar en el campo de estudio sobre riesgo de desastres y acciones que considerar en las políticas nacionales con el fin de contribuir a un debate relevante y urgente.
Discursos de estudiantes sordos sobre su inclusión en educación secundaria: barreras y facilitadores
Authors: Herrera Fernández Valeria , Reyes Vera Lilian
Published: July 2023

El artículo discute los cambios en las comunidades educativas en favor de la inclusión y la participación de estudiantes sordos, considerando los desafíos que subsisten. El objetivo fue develar las barreras y facilitadores que enfrentan cotidianamente los/as estudiantes, identificando las prácticas que favorecen la inclusión y/o la exclusión. El estudio analiza cualitativamente las subjetividades de siete estudiantes sordos entre 15 y 17 años sobre sus experiencias de inclusión en la educación secundaria. Se efectuaron entrevistas en profundidad en Lengua de Señas Chilena (LSCh) y foto-elicitación. Los resultados muestran como facilitadores: (a) disponibilidad de recursos humanos y físicos, (b) estrategias de comunicación y (c) accesibilidad. Y como obstaculizadores: (a) ausencia de mecanismos para promover la participación y el acceso universal, (b) espacios inaccesibles, (c) falta de comunicación y (d) discriminación hacia las/os estudiantes sordos. La transformación de las actitudes y prácticas escolares en favor de la inclusión constituyen el principal desafío.
Gereja Toraja Menghadapi Perubahan Budaya Digital dan Pandemi Covid 19
Authors: Tonapa Asmen
Published: July 2023

Abstract: This research is based on the reality of the development of digital culture which has given rise to a new culture of worship, namely virtual worship. The purpose of this research is to find a new perspective on how to worship virtually, especially at the Toraja Church. How is the solemnity/reverence of the people in worship and do the people encounter God's presence in online worship? and what is the new model of worship and how is the ecclesiology of the church in a new culture. This research uses qualitative methods in the form of interviews and studies from experts as well as studies of various scientific writings in the fields of technological and cultural change, the digital world and the impact of virtual worship on the image of God. The results of this study indicate that the new culture of convergence brings changes in worship from centralization to decentralization.Abstrak: Penelitian ini didasarkan pada realitas perkembangan budaya digital yang memunculkan budaya baru dalam cara beribadah yakni ibadah virtual. Tujuan penelitian ini ialah untuk menemukan perspektif baru dalam cara beribadah secara virtual khusunya di Gereja Toraja. Bagaimana kekhusyukan/kehidmatan umat dalam beribadah dan apakah umat menjumpai kehadiran Allah dalam ibadah online? dan bagaimana model ibadah yang baru serta bagaimana eklesiologi gereja dalam budaya baru. Penelitian ini menggunakan metode kualitatif berupa wawancara dan Kajian-kajian dari para pakar serta kajian atas berbagai tulisan ilmiah di bidang perubahan teknologi dan budaya, dunia digital dan dampak ibadah virtual bagi gambaran tentang Tuhan. Hasil penelitian ini menunjukkan bahwa budaya baru konvergensi membawa perubahan beribadah dari sentralisasi ke desentralisasi.
Analysis Of The Value Relevance Of Religiosity On Economic Behavior
Authors: Prasetyo Deva , Bin Shuib Mohd Sollehudin
Published: July 2023

This study aims to determine the relevance of the value of religiosity to economic behavior by SAMIAJI rengginang producers. This research is descriptive research with a qualitative approach. The data collection technique used in this research is in the form of observations made at the SAMIAJI rengginang producer located in Warungasem, Batang. Then interviews with Mrs. Masruroh as the founder of the SAMIAJI business, and documentation techniques. The result of this research is that the SAMIAJI rengginang business, which is located in Warungasem Batang, has existed since 2013 with its founder, Mrs. Masruroh. This business produces three types of rengginang, namely jimpitan rengginang, small round rengginang and large rengginang. The production stages consist of steaming, printing, drying, frying and packaging stages. The religious values that are believed by the rengginang producers are honesty, trust, justice, responsibility and usefulness. Its relevance to production economic activities is that the existence of these religious values as moral and ethical shapers in production, so that production is more directed, clean and healthy. Such production can be beneficial for business continuity, because it can improve product quality and consumer loyalty.
Flood Pulsing In Restoration : A Feasible Option for India
Authors: Middleton Beth
Published: July 2023

Flood pulsing, which involves the restoration of natural flood conditions in wetlands has been attempted in a few places around the world, but has often been hindered by political and economic factors. Many wetlands have been destroyed by engineering projects such as dams, embankments, and channelization, and these projects often need to be reversed in order for flood pulsing to be successful. Flood pulsing is important for the survival of many plant and animal species that are adapted to or dependent on these conditions. In India, the idea of incorporating flood pulsing in riverine restoration is new, but it is worth considering for the benefit of the animals and plants that depend on these wetlands.

Wetlands are also important for human use, such as for washing, bathing, drinking, livestock, and irrigation. The removal of embankments (levees or bunds) that separate the channel and floodplain can be a step towards restoration, as can the inclusion of flood pulsing in river management plans. However, these efforts must also consider the needs and potential impacts on local communities.
Restoration Of A Degraded Land in A High Rainfall Area
Authors: Mahajan S. D.
Published: July 2023

An ecological restoration project in the Kolhapur District of Maharashtra, India, initially started as an afforestation project by a group of nature enthusiasts. The project aimed to plant indigenous species on a degraded, non-agricultural land and develop it as a location for environmental camps, workshops, and excursions. The land had poor soil with a deficiency of essential macronutrients and a pH of 7.00. The previous owner had cultivated about 50% of the land with a monsoon crop of nachani or other minor millets. The restoration project focused on reducing human disturbance and allowing nature to develop on its own. Activities included a botanical survey, planting trees and shrubs, and promoting natural regeneration. The project also involved education and awareness programs for local people and visitors. As a result of the project, the land has developed into a diverse ecosystem with a variety of plant and animal species. The project serves as a model for low-cost, community-based ecological restoration.
Information collection and protection strategy based on platform competition model for advertiser and user
Authors: Yao Haichao , Yang Mengwei
Published: July 2023

In the era of digital economy, people pay more attention to the protection of users' personal information. The smart goods platform and advertisers who advertise on this platform understand the behavior and preferences of users by collecting users' personal information and undergoing professional processing and analysis. And accordingly, to provide users with corresponding personalized products and services, while improving consumer satisfaction and loyalty, you can obtain higher profits. However, the collection, processing and use of personal information by smart goods companies have raised privacy concerns among users. By establishing a model of the participation of the smart commodity platform, users and advertisers, analyze the amount of user data collected by the smart commodity platform and the degree of efforts made by the smart commodity to protect data for maximizing the interests of the three parties. Through balanced analysis and static analysis, it can be obtained that the total utility of the user increases first and then decreases. Under the premise that the smart commodity platform makes efforts to ensure the security of users' personal information, the profit of advertisers increases with the increase of users. As collecting too much user data can lead to the loss of some users and collecting too little amount of user data can lead to the platform losing some revenue from advertising. Therefore, smart goods platforms should collect a certain amount of user data and make certain efforts in data protection in order to maintain the balanced rights and interests of important stakeholders such as advertisers, users and themselves.
A Research on Measuring the Impact of Olympic Games Based on MOIM Model
Authors: Guo Yiting , Wu Yangfan , Pan Siyuan
Published: July 2023

Due to the high cost of hosting, the Olympic Games have gone from being a "sweet pastry" to a "hot potato". To quantify the impact of the Olympic Games on the host country, the impact of the Olympic Games on the host country's economy, land use, satisfaction (athletes and spectators), travel, opportunities for future improvement, host city/country prestige, and environmental factors were considered in the selection of indicators, and the absolute and relative impact methods were used to classify these variables. In model building, the weights of the indicators were determined comprehensively by combining the subjective and objective methods of EWM-AHP to establish the Olympic Games Impact Metric (MOIM) measurement model. Finally, by constructing a functional relationship between the indicator variables and the degree of impact of the Olympic Games on the host country, TOPSIS analysis is applied to quantitatively measure the impact of the Olympic Games on the host country.
Prediction Model of Word EERIE Based on BP Neural Network
Authors: Wang Xiyu , Li Chenyang , Pang Zekun
Published: July 2023

This paper uses BP neural network algorithm to determine the difficulty level of the word EERIE by constructing a neural network model, and determine its relationship with the word length, word commonness, letter frequency and other attributes to predict the relevant percentage of the future date, and discusses the uncertainty of the model, the accuracy of the classification model and other characteristics of the data set. In terms of accuracy, the random forest algorithm is the best, 72%, and the k-nearest neighbor algorithm is the worst. In terms of F1 score, logistic regression algorithm performs the best conclusion.
A study of Global Equity based on AHP & EW Multi-attribute Decision Model
Authors: Chen Jiajun , Ou Zhenhui , Chen Nuo , Lv Shulong
Published: July 2023

With the shortage of Earth's resources, asteroid mining has received much attention. However, there is no specific policy to address the impact of asteroid mining on global equity, so this paper proposes a targeted mathematical modeling solution-AHP&EM multi-attribute decision model. First, this paper calculates the weights of these different aspects in the model using entropy weights (EW) and hierarchical analysis (AHP), successfully constructs a global stock valuation model, and finds that the global stock index is gradually improving. In addition, this paper designs a scoring model and evaluates the optimal solution using the Pythagorean hesitant fuzzy operator (PFHS) and concludes that the agency model is most beneficial to the growth of the global equity index, while the equity system and tax planning are most suitable for the current model and most beneficial to the global equity.
Finite element analysis on flexural performance of the bending capacity for concrete beams reinforced with ECC and aluminum alloy bars
Authors: Mo Chunmei , Huang Jun , Huang Junzhong , Tan Jiao
Published: July 2023

The flexural performance of concrete beams reinforced by engineered cementitious composites (ECC) and embedded aluminum alloy bars was analyzed by finite element method, and compared the results with the existed experimental values to verify the correctness of the finite element model. On this basis, the effects of different ECC reinforcement thickness, the number of aluminum alloy reinforcement roots and the diameter of aluminum alloy reinforcement on improving the flexural performance of the reinforced beams were studied. The results showed that: ECC-aluminum alloy bars reinforcement can significantly improve the flexural performance of reinforced concrete beams, and the ultimate load capacity of reinforced beams was improved by 5.88%~73.66% compared with that of control beams; the effect of ECC-aluminum alloy bars reinforcement method was better than that of reinforcement with ECC material only; the degree of improvement of yield load of beams by ECC reinforcement layer was greater than that of ultimate load; The thickness of ECC reinforcement layer, the number of aluminum alloy reinforcement roots and diameter were proportional to the reinforcement effect of reinforced beams, among which increasing the number of aluminum alloy reinforcement roots had a great influence on the flexural load capacity of reinforced beams, which provided for the calculation of flexural performance of reinforced concrete structures.
Current State and Advanced Architectures of Doherty Power Amplifiers
Authors: Ma Chao
Published: July 2023

Power amplifiers are critical components of wireless communication systems, providing the necessary power to transmit signals over long distances. Among various power amplifier solutions, the Dougherty power amplifier (DPA) remains a popular choice due to its high efficiency, speed, and power combination. However, conventional DPAs suffer from limited bandwidth and linearity, which have been major challenges in contemporary DPA design. This paper discusses the status, challenges, and potential solutions for improving the bandwidth and linearity of the DPAs. The limited bandwidth of conventional DPAs has been a challenge for their use in wireless data communication. Furthermore, concerning DPA linearity, this paper discusses the importance of linearity for modern wireless communication and potential DPA linearization techniques. The paper proposes several emerging DPA architectures, namely the Asymmetric Dougherty Power Amplifier, Multi-Stage Dougherty Power Amplifier, and Digital Dougherty Power Amplifier. The findings of this paper provide insights into the current status and future development of DPA technology, particularly in terms of bandwidth and linearity.
Artificial Neural Network Models for Image Recognition
Authors: Cao Junyuan
Published: July 2023

Image recognition is an important application of artificial intelligence. Due to the continuous development of chips and algorithms, this field has made great progress in the past decade. At the same time, AI based image recognition has been widely used in the emerging fields like robotics, autonomous vehicles, and surveillance cameras, and their demand for AI has promoted the development of image recognition technology. Resent research has found that the convolutional neural network model is particularly effective for image classification and detection and smaller convolution kernels with deeper network structures are conducive to improving the accuracy. However, problems such as overfitting and activation function gradient descent need to be solved during the operation process. The latest convolutional neural network model ResNet applies residual units to reduce the redundant calculations and improve the efficiency of the model. In general, different variants of convolutional neural network structures have different effects on image recognition, but regional convolutional neural network structures are preferred in engineering applications for its balance between processing speed and recognition accuracy.
Safety risk analysis of high-rise steel structure building construction
Authors: He Hao
Published: July 2023

At present, in the construction of high-rise steel structures, many construction companies have inaccurate grasp of the key technologies of steel structure construction, and in specific construction, they still follow past construction experience, resulting in the lack of guarantee for the quality of steel structure construction. In the construction of steel structures, there is a great correlation between various sub items, processes, and before processes. In addition, there is a close relationship between the progress, quality, cost and safety of the project. If there is a problem in any node or link, it will have a chain reaction, affect the realization of other goals and expand losses. This paper first expounds the characteristics of building steel structure, then analyzes the safety risks of high-rise steel structure construction, and finally puts forward the safety management strategies of high-rise steel structure construction, including innovating steel bar welding technology, risk control of environmental factors, strengthening on-site supervision of construction projects and increasing the application of BIM technology.
IMPLEMENTASI FUNGSI MANAJEMEN DALAM PENERAPAN BOARDING SCHOOL
Authors: Alwi Muhamad
Published: July 2023

The implementation of management functions in the implementation of boarding schools is very important to achieve the goals of national education and the goals of these educational organizations. Experts differ in formulating the management process, but in essence there are several similarities covering four management functions that must be considered, namely boarding school planning, boarding school organizing, boarding school implementation, and boarding school supervision. By paying attention to the four functions of education management above, it is expected to improve the overall quality of education. The method used in this research is library research. From the results of the literature research, it can be concluded that the implementation of a good boarding school management function can improve achievement and religious character of Ma'had Al-Qolam MAN 2 Malang City, improve the quality of education at MAN 1 Yogyakarta, improve the quality of education at SMA IT Abu Bakar Yogyakarta.
A method to optimize the pesticide dose considering the combined influence of plant, pest, pesticide, and spray equipment on bioefficacy
Authors: DURAIRAJ Divaker , JYOTI Bikram
Published: July 2023

Aim of the study: To develop a method to optimize the pesticide dose considering the combined influence of plant, pest, pesticide, and spray equipment on bioefficacy. Area of study: Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, India. Material and methods: A controlled droplet applicator generated droplets from 200 to 50 μm. The target leaf's deposition density of a preset droplet size can be controlled by timing the spray. A sequence of bioassays was performed at various droplet densities at each pesticide (imidachloprid 17.8% SL) dose and droplet size to determine the mortality of cotton aphids (Aphis gossypii) and jassids (Amrasca biguttula) feeding on immature cotton plants. Calculating the number of droplets per target area needed to cause 50% and 90% mortality (LN50 and LN90) yielded a series of model curves. Field tests were done on the computed optimal doses of the pesticide for a spray apparatus (electrostatically charged spray) to assess the spray's bioefficacy against A. gossypii and A. biguttula. Main results: In comparison to uncharged mist blower spray, which had a bioefficacy of 91% for an LN90 dose of 110 g a.i. L-1, the spray had an 89% bioefficacy on A. gossypii. Using the electrostatic spray, it was 91% effective against A. biguttula and 98% effective against an uncharged mist blower at a dose of 110 g a.i. L-1 of LN90. Research highlights: This generalized method of modelling could effectively compute the optimal pesticide dose for any plant, pest, pesticide, and spray equipment combination.
The Function of Machine Learning BCI Classifiers
Authors: Tian Bowei
Published: July 2023

Recently, machine learning(ML) has become a hot issue, and most brain-computer interface(BCI) systems contains machine learning structured classifiers. The classifiers are designed to process the selected feature and send the most possible signal user generates to the reception device. However, its not easy to realize without some advanced ML methods. This survey mainly focuses on some effective ML means to classify features, including state-of-the- art invention: MDM classifier. Moreover, we propose some promising directions to further research this topic.
Overview of the Positioning Technology of the Sweeping Robot
Authors: Zhang Jiaxin
Published: July 2023

Nowadays, the sweeping robot has been widely used in every household, the positioning technology of the sweeping robot, as one of the key technologies, is constantly updated, different technologies have different advantages and disadvantages and characteristics. Therefore, it is very necessary to summarize and summarize the positioning of the sweeping robot. Firstly, according to the existing review, according to the dimension of positioning technology, it is divided into four parts: simultaneous localization and mapping (S LAM), beacon-based positioning technology, environmental map matching positioning technology, and dead reckoning, and summarizes it. Finally, the future development prospect of the sweeping robot positioning technology is summarized.
Bone Fractured X-ray Data Generation Based on DCGAN
Authors: Bai Yuxuan
Published: July 2023

As the global population of elderly individuals is expected to double by 2050, the incidence of bone fractures is likely to increase, posing a significant public health concern. To address this issue, researchers have increasingly turned to Artificial Intelligence (AI) technology to facilitate medical treatments. However, obtaining sufficient patient illness images to train AI models remains a challenge. This study uses Deep Convolutional Generative Adversarial Network (DCGAN) to generate X-ray picture to help solve this problem. This study built DCGAN by doing some changes basing on original DCGAN. This study built the Generator and Discriminator by using five layers fractionally-strided convolutions and five layers Convolutional Neural Network (CNN). Both of the fractionally-strided convolutions and CNN are built with 44 size of kernels, 1 length of stride and the padding is 1. However, the padding in the last layer of Discriminator and the first layer of Generator is 0. When built the Discriminator, this study used SilU as the activation function instead of LeakReLU. Being trained by using the bone fractures X-ray data set from Kaggle, the model obtains a satisfactory result. The final loss of the Generator is 1.9012 and the final loss of the Discriminator is 0.8281. Although the generated images were somewhat indistinguishable from the original data, they bore a striking resemblance to the actual X-ray images.
The Development and Status of Speech Recognition: An Overview
Authors: Xiao Longwei
Published: July 2023

Speech recognition has made remarkable progress in the last two decades, gradually moving from the laboratory to many different application scenarios. The core of speech recognition includes two processes: encoding and decoding, among which the decoding process can be divided into two parts: acoustic model and language model. After more than seventy years of development, speech recognition can be broadly divided into three phases in terms of technical direction: GMM-HMM era, DNN-HMM era, and end-to-end era. Finally, this paper will summarize the problems and future development direction of speech recognition through comparative study.
Application and Research of VR in Education
Authors: Cai Yueheng , Jin Zicheng , Liu Sizhe , Ying Junda
Published: July 2023

The development of computer hardware and computer graphics had led to a new kind of new form of visualization which is called Virtual Reality (VR) technology. People could play games and communicate with others, but most importantly, children are more likely to learn things through VR. This essay mainly examines what are the ways of how VR educational games, art educations, and political education, contribute to help students to learn while they are playing VR and what are the differences between VR and other forms of education. The research summarizes the advantages and disadvantages of VR in educational games, and analyses its application in different art education scenarios. Some problems of VR in political education are discussed. This paper may provide readers with new ideas and thoughts on the potential of VR in the future that are beneficial to the entire society. At the end of the paper, the paper summarizes the full text and looks forward to the future.
The Application of VR in Game Design
Authors: Li Minyi
Published: July 2023

As VR has been applied into many fields, and in recent years, video game developers tried to use VR in game deign because they always looking for new technology that can give players a better experience. This paper introduces the reason of why developer choose VR including the evolution of hardware, game design principles, cross-platforms, and combination of video game and health/education. Specifically, this article focuses on how virtual reality has become a part of the gaming landscape through the history of video games. Then, this paper analyses the contribution of VR to game design and the application of VR in cross-platform is described. Finally, here are some examples of how VR games can help people in other fields. The application of VR still has many exist issues that need to be fixed, but its benefits are irreplaceable for new game style and performance. In the end, this paper summarizes the research content and prospects the future.
Research and Analysis of Ray Tracing Methods
Authors: Qu Chenxi
Published: July 2023

In computer graphics, the study of how to build realistic scenes on the computer has been the focus of research. The dominant approach to simulating the correct light source was to use rasterization, but rasterization does not correctly simulate multiple reflections. To make virtual scenes more realistic, ray tracing was proposed to provide better results. With the rapid development of computer hardware, the use of ray tracing for rendering animation or games is becoming more and more common, and many scenes can now be rendered with ray tracing instead of rasterization for better results. This paper introduces and analyses the various methods of ray tracing in chronological order, starting with the original forward ray tracing and backward ray tracing, followed by Whitted algorithms with recursion, and then a series of methods introducing rendering formulas. And then, a few rays tracing algorithms introducing the Metropolis sampling method is mentioned. One can conclude that this method is going to be used for future optimization and development. It is significant for the development of ray tracing.
A New Color Classification Method Based on Multiple Machine Learning Models
Authors: Gao Kuang , Yang Zhiyin , Yu Chengyu
Published: July 2023

Color classification is a well-established field with everyday applications in areas such as object recognition, face recognition, skin color recognition, and materials recognition. With the advent of machine learning, various algorithms, including Artificial Neural Network (ANN), Supporting Vector Machine (SVM), decision trees, and Bayesian networks, have been employed for color classification. In this paper, we employ two distinct techniques, K-nearest Neighbors (KNN) and logistic regression, for the purpose of classification. Our study primarily focuses on simplifying image processing procedures to reduce time consumption. We utilize RGB values to train the KNN and logistic regression models and gather statistics on different colors. The results of our tests indicate that the KNN model has an advantage in terms of accuracy due to its straightforward and efficient computations. While logistic regression performs well on raw image data, it is outperformed by KNN on processed images. The proposed model can provide a color table for complex images in a relatively short amount of time.
Analysis of the Development of Computer Science and its Future Trend
Authors: Chen Yaozhang
Published: July 2023

Computer science is one of the most influential innovations of the last century, including data structures, computer and network design, modeling data and information processes, and artificial intelligence. With the development of computer science, more and more people begin to pay attention to the importance of computers. This paper tells the history of computer science, and introduces some frontier technology of computer science. Computers have greatly improved people's work and lifestyle, developed modern society, and become an indispensable part of people's lives. Computers have entered the era of artificial intelligence, which has a major impact on the development of human society.
Research on Energy Efficiency Optimization Technology in Cellular Network
Authors: Wang Yibo
Published: July 2023

This paper analyzes the energy consumption of base stations involved in cellular networks, including main equipment, power supply equipment, environmental equipment and other auxiliary equipment, etc. On this basis, this paper discusses energy efficiency optimization techniques at several levels, such as base station deployment, components, and repair cotton. Under the current limited channel resources, it is inevitable to consider the balance between data services and voice services, and then to analyze the relevant indicators of network performance as a basis for the specific time.