bluuebunny/crossref_metadata_2025 huggingface dataset:
Metaverse’ün Disiplinlerarası Görünümü: Lisansüstü Tez Çalışmalarının Bibliyometrik Profili
Authors: Dertli Şükran , Dertli Muhammet Emin
Published: June 2024

Bu araştırmanın temel amacı, metaverse konusuna yönelik yapılan lisansüstü tez çalışmalarının genel özelliklerini bibliyometrik analiz yöntemiyle belirleyerek literatüre katkı sağlamaktır. Bu bakımdan, Yöktez (Yüksek Öğretim Kurumu Tez Merkezi) veri tabanı üzerinden elde edilen tez çalışmaları çeşitli parametrelere göre bibliyometrik açıdan analiz edilmiştir. Bu çalışmada lisansüstü tezlerin akademik düzeylerine, yazarlarına, danışman ünvanlarına, başlıklarına, yayın dillerine, konularına, dizinlerine, bölüm başlıklarına, anahtar kelimelerine, yayın yıllarına, üniversitelerine, tezlerin yazıldığı illere, enstitülere, ana bilim dallarına, erişim durumlarına, sayfa sayılarına, modeline ve örneklemine göre dağılımına odaklanılmıştır. Araştırma sonuçları IBM SPSS Statistics 25.0 paket programında ve kelime bulutunda analiz edilmiştir. Elde edilen veriler ile frekans ve yüzde analizleri yapılmıştır. Yöktez veri tabanı gelişmiş arama üzerinden "metaverse" değişkeni kullanılarak arama yapıldığında 34'ü yüksek lisans, 4'ü doktora, 3'ü sanatta yeterlilik ve 1'i tıpta uzmanlık olmak üzere toplam 42 lisansüstü teze ulaşılmıştır. Araştırma kapsamında metaverse’ün yüksek lisans tezlerinde daha fazla merak uyandırdığı ve tez çalışmalarında metaverse teknolojisinin daha çok dijitalleşme ve sanal dünya ile ilişkilendirildiği tespit edilmiştir. Dolayısıyla tüm bu durumlar metaverse’ün son yıllarda ilgi çekici bir konu olduğunu ortaya koymuştur. Aynı zamanda metaverse teknolojisinin niceliksel olarak yeterince ele alınmadığı literatürde eksiklikler olduğu tespit edilmiştir. Bu çalışmadan elde edilen en belirgin sonuç, metaverse teknolojisinin disiplinlerarası bir çalışma konusu olduğudur.
Eski Kaşar Peyniri Proses Hattında Mikrobiyal Pembe Renk Bozuklukları: Örnek Bir Çalışma
Authors: İpek Dilvin , Demirel Zorba Nükhet Nilüfer
Published: June 2024

Bu çalışma ülkemiz için önemli bir değer olan eski kaşar peyniri üretim hattının mikrobiyal yükünün belirlenmesi, incelenen üretim hattında üretilen ürünlerde daha önce oluşan pembe renk gibi istenmeyen kalite kusurlarına neden olabilecek mikroorganizmaların tanımlanmasını ve bu mikroorganizmaların ürüne kontamine olduğu noktaları belirlemek amacıyla yapılmıştır. Çalışma sırasında üretim hattı boyunca farklı noktalardan örnekler alınmış, bu örneklerde toplam aerobik mezofilik bakteri sayımı (TAMB) genel mikrobiyal yükün tespiti amacıyla yapılırken, içlerinde pembe renk oluşumuna sebep olabilecek türleri barındıran küf/maya ve Enterobacteriacea sayıları tespit edilmeye çalışılmıştır. Tespit edilen mikroorganizmalara fenotipik yöntemler kullanılarak tanımlanmış, pembe renk sorununa neden olan mikroorganizmanın ise Debaryomyces sp.’e ait olduğu tespit edilmiştir. Analiz sonuçlarına göre işletmedeki ana kontaminasyon kaynaklarının işletme suyu ve tahta olgunlaştırma rafları olduğu belirlenmiştir.
Yeni Nesil Savaş Uçaklarına Yönelik Görev Planlama Sistemi
Authors: Esenli Ersin , Özer Anıl , Savaş Ömer Faruk
Published: June 2024

İlerleyen teknolojinin askeri havacılık alanına uygulanması ile yeni nesil savaş uçakları geliştirilmeye başlanmıştır. Yeni nesil uçaklar harekât ortamında fark yaratabilecek özelliklere sahip olsalar bile karmaşık sistemlerden oluşmaları nedeniyle bugüne dek hiç olmadığı kadar uçuş öncesi hazırlığa ihtiyaç duymaktadırlar. Bu çalışmada yeni nesil bir uçağa ait görev planlama sisteminin nasıl tasarlanması gerektiği, yeni nesil bir uçağa ait görev planlama sisteminin hangi bileşenlerden oluşması gerektiği incelenmiştir. Çalışma kapsamında yeni nesil bir uçağın sahip olduğu teknolojilerin etkin bir şekilde kullanılabilmesi amacıyla geliştirilmesi gereken görev planlama sisteminin fonksiyonel özellikleri tanımlanmıştır.
Giresun İlindeki Bazı Ortaokulların Hava Kalitesinin Ağır Metaller Yönünden Değerlendirilmesi
Authors: Demir Hasan , Koz Bahadır
Published: June 2024

Bu çalışmada, Giresun’daki bazı ortaokulların bahçesinden toplanan karayosunlarında ağır metal analizleri gerçekleştirilerek, okulların ağır metal kirliliği yönünden hava kalitesinin değerlendirilmesi amaçlanmaktadır. Karayosunlarında gerçek manada kök, gövde, yaprak bulunmamakta ve yapraksı yapılarında da kütikula ve epidermis tabakası olmadığından, havadaki ağır metalleri bünyelerinde biriktirebilmektedirler, bundan dolayı çok iyi biyoindikatör bitkilerdir. Ağır metaller, çocuklar üzerinde de olumsuz etkilere neden olduklarından, çocukların önemli vakitlerini geçirdikleri okulların hava kalitesi bu açıdan önemlidir. Bu çalışmada; Giresun’daki dört ortaokul il merkezinde ve bir beldede olmak üzere beş ortaokuldan toplam onaltı karayosunu numunesi ve dört karayosunu numunesi de kontrol bölgesi olarak kulakkaya yaylasından toplandı. Toplanan karayosunu numunelerindeki ağır metaller Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) cihazında analizler neticesinde belirlendi. Okul bahçelerinden toplanan karayosunlarının analizleri neticesinde ortalamaları; Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn ve Pb’un konsantrasyon değerleri sırasıyla 8214.67, 38.72, 16.76, 320.96, 10470.31, 4.65, 10.10, 33.69, 94.39 ve 23.80 olarak belirlendi. Kontrol bölgesinden toplanan karayosunlarının ortalama konsantrasyonları ise 3345.90, 11.00, 6.77, 2102. 2017.86, 1.39, 5.26, 7.91, 37.22 ve 3.17 olarak belirlendi. Analizler sonucunda, kontrol bölgesinden toplanan karayosunlarının ağır metal miktarlarının hepsi okul bahçelerinden toplanan numunelerin ağır metal miktarlarından az olduğu görülmüştür. Bu çalışma sonucunda; Okullarımızı, mümkün olduğunca insan kaynaklı kirlilikten uzak noktalara yapılması gerektiği bir kez daha ortaya konulmaktadır.
Pasif ve Aktif Olarak Ok Açılı ve Anhedralli Pal Ucu Şekli Başkalaşan Helikopterin Kontrol Sistemi ile Beraber Eş Zamanlı ve Rassal Yeniden Tasarımı
Authors: Şal Firat
Published: June 2024

Bu araştırma yayınında pal ucundaki ok açısı ve anhedrali uçuş öncesinde pasif, uçuş sırasında ise aktif olarak başkalaşım yeteneğine sahip bir insanlı helikopterin otomatik uçuş kontrolünü sağlayan kontrol sistemi ile biraz önce bahsedilen başkalaşan parametrelerinin başkalaşım mekanizmaları eş zamanlı olarak rassal optimizasyon yöntemi ile yeniden tasarlanmaya çalışılıp en ekonomik bir şekilde otonom uçuşun sağlanması amaçlanmıştır. Bu çalışmada uçuş kontrol sistemi içinde varyans kısıtlı kontrolcüler, spesifik olarak çıkış varyansı kısıtlı kontrolcü kullanılmıştır. Rassal optimizasyon yöntemi olarak SPSA yani eş zamanlı pertürbasyon rassal yaklaştırım kullanılmıştır. Pale ucu geometrisinin ve helikopter otomatik uçuş kontrol sisteminin eş zamanlı tasarımı sonucunda kontrol çabasından oluşan maliyet fonksiyonunda, pasif ve aktif başkalaşımın beraber ele alındığı durumda bu başkalaşım yöntemlerinin tek tek ele alındığı duruma göre çok daha fazla tasarruf sağlanmıştır.
CHANGES IN THE LEVEL OF 25-HYDROXYVITAMIN D IN ORAL FLUID IN CHILDREN WITH PROGRESSIVE MYOPIA
Authors: Tsybulska Tamila E. , Titkova Oleksandra U. , Kostrovska Kateryna O.
Published: June 2024

Aim. Assess the level of 25-hydroxyvitamin D in oral fluid in children with progressive myopia.
Materials and methods. We examined 34 children (68 eyes) with mild myopia and 18 conditionally healthy children (36 eyes) without ophthalmological pathology. The children were divided into 2 groups: Group I (main) – 34 children (68 eyes) with mild myopia, in which subgroup Ia – 16 children (32 eyes) – with a progressive course of myopia and subgroup Ib – 18 children (36 eyes) – with a stable course of myopia. The control group consisted of 18 conditionally healthy children (36 eyes) without ophthalmological pathology. A standard ophthalmological examination was carried out: visometry, autorefractokeratometry before and after cycloplegia, biomicroscopy, ophthalmoscopy, determination of the axial length of the eye. The level of 25-hydroxyvitamin D in oral fluid was determined by the immunoenzymatic method.
Results. In children with a progressive course of myopia, the indicator of 25-hydroxyvitamin D is 1,2 times lower than in children with a stable course of myopia and 2,4 times lower than in children of the control group (p<0,05). Correlation analysis showed a significant inverse relationship between the axial length of the eye and the level of 25-hydroxyvitamin D (r=–0,50,p<0,05) and between the progressive course of myopia and the level of 25-hydroxyvitamin D (r=–0,69,p<0,05). According to the ROC analysis the optimal value of the cut-off threshold for the indicator of 25-hydroxyvitamin D in oral fluid in children was ≤ 20,154 ng/ml. (sensitivity is 87,9%, specificity is 94,7%), (р <0,001).
Conclusions. In children with a progressive course of myopia, the level of 25-hydroxyvitamin D is 2,4 times lower than the level of conditionally healthy children. A decrease in the level of 25 hydroxyvitamin D in the oral fluid is an additional risk factor of the progressive course of myopia in children.
PECULIARITIES OF TRAINING PERSONNEL RESOURCES OF THE PUBLIC HEALTH SYSTEM IN THE SPHERE OF EPIDEMIOLOGY
Authors: Petrusevych Tetyana V. , Zublenko Olena V.
Published: June 2024

Aim. An analysis of educational approaches to the training of specialists in the public health system in the field of epidemiology in Ukraine and the world was carried out with the definition of the main competencies, in accordance with the best educational international practices. Conducting an analysis of educational approaches to the training of specialists in the public health system in the field of epidemiology in Ukraine and the world with the definition of core competencies, in accordance with the best educational international practices.
Materials and methods. Critical narrative literature review, based on scientific works indexed in the scientometric databases Medline, Google Scholar, PubMed, with directory of open access journals (Directory of Open Access Journals (DOAJ)) and data from the global network educational (TEPHINET) was conducted.
Results. The world experience of training specialists in the field of epidemiology, with the aim of strengthening the health care system, shows that efforts are being directed to the training of practically oriented specialists. The main subject areas are necessary for the modern training of epidemiologists in the field of public health: epidemiological method and biostatistics, epidemiological surveillance and biosafety, epidemiology of infectious and non-infectious diseases, communication, management and leadership, computer skills. An epidemiologist must possess basic competencies: apply epidemiological research methods, synthesis of knowledge and interpretation of data to monitor diseases, respond to outbreaks, manage public health surveillance, manage staff and resources, develop written and oral communications. There is a valid opinion that competences in the field of epidemiology should be standardized, which would make the epidemiologist universal in different countries aimed at formation qualified and experienced epidemiologists who can detect, investigate and control disease outbreaks; conduct observations; analyze epidemiological data; measure the impact of interventions; and conduct applied epidemiological studies.
Conclusions. The practical orientation of educational programs should provide a strong component for creating a sustainable capacity to respond to emergency situations in the field of health care at the national, regional and global levels. The Ukrainian approach to the training of epidemiologists requires changes using programs that combine theoretical learning with the predominant experience of practical work, taking into account the basic competencies with elements of mentoring and peer training, should meet modern standards of andragogy and approaches to motivating future specialists to learn throughout their lives.
Суспільно-політичний лад і економічний розвиток Етрурії у 8–3 ст. до н. е.
Authors: Ніколіна Інна , Ніколіна Ірина , Очеретяний Володимир
Published: June 2024

The purpose of the article is to highlight key issues of the socio-political system and economy of Etruscan civilization as factors influencing both its rise and decline. The research methodology is based on the use of general scientific principles: historicism, objectivity, and a systemic approach in analyzing historical processes considered in this article. Special historical methods such as descriptive, problem-chronological, historical-systemic, and comparative-historical have proven to be effective. The scientific novelty of the research is determined by the authors' attempt to comprehensively reveal the topic of the socio-political system and economy of the Etruscans in the 8th–3rd centuries BC by utilizing the achievements of foreign and domestic researchers. Conclusions. The key factors determining the might of the Etruscans were the fertility of the land and the richness of the region's natural resources. However, their socio-political structure undermined this potential as Etruscan cities existed independently from each other and did not strive to unite into a centralized state, further weakening themselves with constant internal conflicts and internecine wars. The lack of unity and the Roman military superiority ultimately led to the loss of independence for the cities, and eventually, to the complete disappearance of the Etruscan ethnic group. The rapid growth of the Etruscan economy through international trade did not contribute to the unification of Etruria into a single centralized state due to the incomplete process of dissolution of tribal relations and the Etruscans' orientation towards the Greeks, including adopting their model of state organization. The formal unification of twelve city-states into the Etruscan League was a religious confederation but did not promote their cohesion. For a long time in Etruscan society, there were only two main classes – the aristocracy, in whose interests the state apparatus operated, and the class which was to varying degrees dependent on the aristocracy. At the same time, the indistinctness of the middle class may be associated with the fact that the ancestors of the Etruscans, who according to one version of their origin came from the east, subjugated the indigenous population, turning them into dependents, which was a typical practice in the ancient world.
L’inabitazione della Trinità: una verità dimenticata? Studio dogmatico-spirituale-pastorale
Authors: Kowalczyk Dariusz
Published: June 2024

Non molte dottrine cattoliche hanno così tanti luoghi scritturistici che le fondano, come la dottrina dell’inabitazione trinitaria. Nonostante ciò, essa nonè, oggi, un tema frequente nella riflessione teologica e nella predicazione. In questa situazione, non soltanto la lettura attenta del Nuovo Testamento ci invita a riprendere il mistero dell’inabitazione, ma siamo interpellati anche dai preziosi testidel Magistero della Chiesa (Divinum illud munus di Leone XIII, Mystici Corporis Christi di Pio XII) e dalle numerose testimonianze dei santi mistici (p.es. Teresa d’Avila, Giovanni della Croce, Elisabetta della Trinità, Faustina Kowalska), peri quali, proprio la presenza di Dio nei loro cuori, costituiva il fondamento di tutte le altre esperienze spirituali. L’inabitazione non è solo una estetica e bella verità,accanto a tante altre, ma per la sua realtà estatica, può offrire un filo rosso per la riflessione di tutte le materie di teologia e catechetica. Una delle difficoltà che ostacola un vero rinnovamento teologico, spirituale e pastorale del mistero dell’inabitazione, consiste in una tale idealizzazione che i fedeli rimangono convinti che la cosa non li riguarda, poiché non si sentono santi e degni. In questo punto, crux di tante contraddizioni e mal comprensione della vita battesimale, si potrebbe sviluppare il tema della kenosi dello Spirito Santo. Esso ci aiuta a percepire la presenza amorevole di Dio in tutti, anche di fronte all’uomo debole e peccatore. L’eccedenza dell’amore di Dio uno e trino è chiamata in causa. È vero che il concetto dell’inabitazione riguarda l’uomo che si trova nella grazia santificante (Spiritus inhabitans), ma – primo – tale stato non significa una piena perfezione, e – secondo – lo Spirito (Spiritus movens) si fa vicino anche ai grandi peccatori per riportarli alla grazia.
On the Classification of Completely Regular Codes with Covering Radius Two and Antipodal Duals
Authors: Borges J. , Zinov'ev V. A. , Zinov'ev D. V.
Published: June 2024

We classify all linear completely regular codes which have covering radiusρ=2and whose dual are antipodal. For this, we firstly show several properties of such dual codes, which are two-weight codes with weightsdandn.
‘Until’ clauses in typological perspective
Authors: Martinez J. O.
Published: June 2024

Based on a sample of 218 languages, the paper shows that most languages tend to use conjunctions and converbs for expressing ‘until’. In a number of languages, these markers appear to be diachronically connected to case markers (e.g. dative case markers), verbs (e.g. ‘to arrive’), nouns (e.g. ‘edge’), and adverb(ial)s meaning ‘only’. Also discussed are other rare strategies, which seem to show clear areal patterns. In particular, some languages from Mali use an ‘until’ clause with a verb meaning ‘to get tired’ to express ‘for a long time’, and some languages from Mesoamerica use ‘until’ clauses with expletive negative markers.
HR-DIGITAL: ЦИФРОВІ ТЕХНОЛОГІЇ В УПРАВЛІННІ ЛЮДСЬКИМИ РЕСУРСАМИ
Authors: САРКІСЯН Норайр , УРБАНСЬКИЙ Максим
Published: June 2024

Глобалізація, зміни у споживчому поведінці, перехід до мережевої цифрової економіки: швидкість і мобільність, диджиталізація - сучасні тренди, що змушують компанії шукати нові конкурентні моделі управління бізнесом. Формування та розвиток цифрової стратегії, інтегрованої з бізнес-та HR-стратегіями, стає необхідною умовою забезпечення майбутньої конкурентоспроможності шляхом трансформації бізнесу від традиційного до технологічного підприємства. Бенчмаркінг дозволив виявити передумови HR-Digital: зміни у споживчому поведінці вплинули на активний розвиток кластера компаній, що ведуть онлайн-бізнес. Нові бізнес-моделі змінили управління працею і людськими ресурсами, сформували HR-тренди, що встановлюють нові підходи до підвищення ефективності: бізнес-орієнтований HR, філософія агільності, свобода: перехід до віртуальних робочих місць і гнучка зайнятість, розвиток диджиталізації. В статті представлений огляд HR-Digital, реалізованих в компаніях різних галузей діяльності, що демонструє різноманітність можливостей автоматизованих та цифрових технологій у всіх сферах управління людськими ресурсами: мобільний роботодавець; розвиток корпоративних соціальних мереж; мобільні додатки як основні платформи для HR-інструментів; навчання в будь-якому місці і в будь-який час; інтелектуалізація та роботизація; персоналізований підхід та когнітивні технології. Попит породжує пропозицію - зафіксовано активний розвиток компаній, які створюють продукти та надають послуги цифрових технологій у сфері HR.
МІЖНАРОДНИЙ ДОСВІД РЕВІТАЛІЗАЦІЇ ПРОМИСЛОВИХ ОБ'ЄКТІВ: МОЖЛИВОСТІ ДЛЯ УКРАЇНИ
Authors: БЕССОНОВА Анна , БЕЗУГЛА Людмила , БЄЛОБОРОДОВА Марія
Published: June 2024

У статті розглянуто теоретичні засади та практичний досвід зарубіжних проєктів з ревіталізації промислових об’єктів з метою дослідити можливості впровадження даного методу трансформації індустріальних об’єктів в українські реалії. Авторами розглянуто умови для виникнення потреби у ревіталізації промислових об’єктів, виділено характерні особливості ревіталізації у порівнянні з іншими видами перетворень об’єктів промисловості. Наведено приклади успішної промислової ревіталізації у розвинених країнах, досліджено фактори актуальності та корисного впливу від впровадження ревіталізації. Сформовано послідовність етапів процесу ревіталізації промислових об’єктів з виділенням необхідних дій та інструментів, притаманних кожному етапу. Досліджено фактори, які зумовлюють вибір промислового об’єкту для проведення ревіталізації. Розглянуто український досвід із впровадження ревіталізації промислових об’єктів.
Kemampuan Berpikir Kreatif Matematis Siswa SMP Ditinjau dari Adversity Quotient
Authors: Sari Filian Yunita , Sukestiyarno  , Walid
Published: June 2024

Kemampuan berpikir kreatif penting dimiliki agar dapat dimanfaatkan ketika melakukan penyelesaian masalah matematis. Penelitian kualitatif deskriptif dilakukan guna mengetahui kemampuan berpikir kreatif siswa SMP ditinjau dari Adversity Quotient. Penelitian dilakukan pada 6 siswa kelas VIII di salah satu SMP di Belitang.  Keenam siswa dipilih menggunakan teknik purposive sampling. Data dikumpulkan melalui pemberian tes, angket, dan melakukan wawancara mendalam. Analisis data dilakukan dengan reduksi data, penyajian data, dan penarikan kesimpulan. Temuan penelitian menunjukkan bahwa siswa tipe AQ climbers mampu memenuhi indikator fluency, flexibility, dan novelty, siswa tipe campers memenuhi indikator fluency dan flexibility, dan siswa tipe AQ quitters hanya memenuhi satu indikator yaitu fluency. Kemampuan berpikir kreatif matematis siswa berbeda-beda bergantung pada tipe Adversity Quotient yang dimiliki.
The ability to think creatively is important so that it can be utilized when solving mathematical problems. Descriptive qualitative research was conducted to determine the creative thinking skills of junior high school students in terms of Adversity Quotient. The study was conducted on 6 grade VIII students at a junior high school in Belitang. The six students were selected using a purposive sampling technique. Data were collected by administering tests, questionnaires, and conducting in-depth interviews. Data analysis was done through data reduction, presentation, and conclusion. The research findings show that AQ climbers-type students can meet the indicators of fluency, flexibility, and novelty, campers-type students fulfill the indicators of fluency and flexibility, and AQ quitters-type students only fulfill one indicator, namely fluency. Students' mathematical creative thinking ability varies depending on the type of Adversity Quotient they have.
Sava Transformation Chronicle (B)
Authors: Filipović Nenad
Published: June 2024

This case study is part of a sequel of cases (from A to D) prepared to be used together in a course on Strategic Management (more in particular on topics related to Mergers and Acquisitions, Business Portfolio Management and Corporate Transformation). Due to the article length restrictions, parts B – D, as well as the case Teaching Note, will be published in a separate article. Please refer to the Teaching Note for more precise suggestions related to classroom use.
A Neural Network-Based Model for Predicting the Accessibility of Mountainous Highways
Authors: Yao Yunchang
Published: June 2024

Mountain roads are the channels for survival in mountainous areas and communication with cities. They are an important support for promoting economic development in mountainous areas. Therefore, it is necessary to establish a prediction model for the accessibility capacity of mountain roads. Combination model refers to the combination of multiple network models to improve prediction accuracy by extracting the advantages of different models. In order to predict the accessibility of mountainous highways, this paper proposes a CNN LightGBM prediction model that combines CNN and LightGBM. This model first utilizes the CNN model to explore the correlation between factors that affect the accessibility of mountainous highways, and constructs an evaluation index system for the accessibility of mountainous highways. Then, this study inputs the extracted feature vectors into the LightGBM model to achieve accessibility prediction. The experimental results indicate that this model has better predictive performance than previous models. This research can help traffic planners make more informed decisions in determining the priority of maintenance and upgrading projects by more accurate assessment of road conditions. And this method can be applied to other regions and road types, which provides valuable insights into the potential of in-depth learning methods in transport infrastructure management.
Semi-Physical Operation Simulation System of High-Speed Maglev Traffic
Authors: Tan Fuxing , Han Tian , Zhao Jun , Lei Tao
Published: June 2024

The high-speed maglev traffic is a new transportation system that combines high speed, safety, green, and intelligence. The test and verification of the high-speed maglev transportation system mainly depends on the test line, which cannot meet the current test and verification requirements due to the large investment amount and long cycle. Semi-physical simulation is a real-time simulation technology that combines physical hardware and simulation software. The characteristics of semi-physical simulation technology include effectiveness, repeatability, economy, and safety. With the development of intelligent transportation, especially in the trend of intelligence and electronics, in recent years, semi-physical simulation technology has also played a crucial role in the development of intelligent traffic control systems. This paper introduces the design and implementation of a high-speed maglev traffic Semi-physical operation simulation system. Based on this system, it can realize the functional performance test and algorithm verification of key components such as suspension, guidance, and eddy brake controller in the laboratory environment, and can also conduct the whole system integration simulation of Shanghai maglev line, 4 stations and 3 sections line,6 stations and 5 sections line, and so on. Verify the rationality and reliability of the system design and support the research and optimization of the key technologies of the maglev transportation system. The simulation results show that the proposed semi-physical operation simulation system can meet the test and verification requirements of high-speed Maglev traffic system.
Platformization Development of Intelligent Connected Car OTA UE Module: Interface Standardization and Code Reuse Practice
Authors: Zhang Xinhao , Zhou Xiong , Yue Yi’e , Song Jie , Sun Long , Zhu GuiSheng , Wang Zhao , Zhou Qian , Ye JunJie , Zhang Yang
Published: June 2024

To meet the demand for rapid development of intelligent cockpit software in intelligent connected cars, this paper proposes a convenient and reliable development approach. This approach, through the unified definition of interface standards, effectively separates the OTA main control program from vehicle interaction information and user interaction information, thereby promoting the platformization and standardization of OTA UE module core code. In this mode, for the development of different vehicle models, only the IVI (In-Vehicle Infotainment System) needs to implement the vehicle interfaces and interaction interfaces defined by UE, and the UE module code can be reused without the need for repetitive development and debugging work. This improvement not only enhances the stability and reliability of UE code but also significantly increases development efficiency, providing strong support for the rapid development of the intelligent connected car industry.
Research on Intelligent Driving System Based on V2X Communication
Authors: Wu Yanxiu , Wang Weiyin , Ding Qingguo , Luan Wenzhe
Published: June 2024

A digital twin is a system that maps real objects to the virtual world using real-time simulation technology. The application of digital twin technology can enable the self-driving test of real intelligent cars in virtual road scenarios. A digital twin-based in-the-loop test system for intelligent driving vehicles was designed and applied to the development and validation of the Autonomous Emergency Braking system. A vehicle-in-the-loop test system is formed by combining simulation test tools, vehicle to everything (V2X) communication equipment, real test vehicles, and other functional units under the framework of digital twin technology. This system maps virtual and real environments to each other. A mirror simulation scene of the real driving environment is constructed using Unreal Engine 4. V2X communication technology is utilized to transmit real-time state data from the real vehicle to the virtual AirSim vehicle controller. Additionally, the environment perception data of the simulation scene is fed back to the test vehicle. Considering the impact of signal delay in the test system, the AEB control algorithm is optimized and improved through in-loop testing of the entire vehicle under various operating conditions. Real vehicle tests have verified the effectiveness and superiority of the digital twin-based intelligent vehicle test method. The results demonstrate that this test method maintains the authenticity of real vehicle tests and effectively avoids the risks associated with them.
Power Material Demand Forecasting Based on LSTM and Random Forecast
Authors: Song Binghu , Jiao Zhixiu
Published: June 2024

This paper takes an electric power company as a case study. Through actual investigation and analysis of the data provided by the company, we found that the material demand forecast of the company is not accurate enough, so that the company cannot effectively arrange the material purchase, resulting in a large backlog of inventory. To improve the reliability and accuracy of the power material demand forecast of the company, this paper proposes a combined forecasting model which combines Long Short-Term Memory Network (LSTM) model and Random Forest (RF) algorithm to predict power material demand. First, the LSTM model is used for preliminary prediction, and then RF algorithm is used to further predict and optimize the residual of LSTM prediction, so as to improve the overall prediction effect. Finally, the combined prediction model proposed in this paper is compared with the single LSTM model and RF algorithm, and it is verified that the combined prediction model has higher prediction accuracy. The research on the demand forecast provides a valuable reference for the company to make material purchase plan and solve the problem of high inventory, and affords a certain reference for the material demand forecast of many similar industries.
Utilising blockchain technology to implement a security control method for node access to the Internet of Things
Authors: Sarkar Swagata , Kakade Kiran , A.K. Suntheya , R Rajalakshmi
Published: June 2024

As a direct consequence of the rapid development of wireless sensor networks, smart gadgets, and traditional information and communication technologies, there has been a considerable rise in the utilization of applications and services connected to the Internet of Things (IoT) in our day-to-day lives. This has led to an increase in the importance that the IoT has been given. The Internet of Things processes large amounts of data. This data may be very sensitive since it may contain highly personal information such as a person’s health, finances, location, and other highly sensitive details. In order to implement fine-grained security management in the internet of things, an efficient access control system is required. Access control for the Internet of Things is considered in a number of suggestions; nevertheless, the development of blockchain-based solutions for IoT access control receives relatively little attention at this time. In this post, we take a look at some recent advances and essential needs for blockchain-based solutions for managing access to the Internet of Things. We highlight a few features controlling access to the Internet of Things, such as decentralized control, secure storage, and the ability to exchange information in a trustless manner. These include both the advantages and the constraints of this technology. In conclusion, we suggest some possible routes for further research on how to incorporate blockchain technology with IoT access control in an efficient and effective way.
Natural language processing and stable diffusion model based graphical authentication using passphrase
Authors: Dias Norman , S. K Mouleeswaran , S R Reeja
Published: June 2024

Graphical passwords or passphrases (GPs) are examined as reliable authentication system over text-based passphrases. Several obtainable applications utilize GPs and image-based authentication schemes. Even though, these authentication methods experience an issue of managing image or pictorial data. Here, Natural Language Processing (NLP)+Stable Diffusion (SD)_graphical authentication is presented for graphical authentication using passphrase. The passphrase, removing stop words, spell check, similarity check, stemming and lemmatization, label encoder, positional embedding and encryption are the steps carried out in registration phase whereas decryption Advanced Encryption Standard (AES), sentence generation, image set generation and grid module are conducted in verification phase. Initially, passphrase is considered and then, stop words are removed from it. Thereafter, spell check as well as similarity check are done and after these processes stemming and lemmatization is performed. In label encoder, label is generated for individual word in passphrase. Afterwards, positional embedding is done and lastly, encryption is conducted in registration phase. In verification phase, encrypted passphrase is decrypted, sentence is generated utilizing Generative Pre-trained Transformer (GPT), image set is generated by SD model and finally, image grid module is accomplished. Moreover, NLP+SD_graphical authentication achieved minimum attack detection, login failure, login time about 0.598, 0.191, 14.175sec and maximum memorability about 0.932.
Neural networks application based on language features in the classification of complex English textbooks granularity
Authors: Wu Hao
Published: June 2024

The surge in modern information has led to a significant increase in text complexity. To meet the needs of various fields for effective information extraction, research on text complexity grading urgently is urgently needed. The study uses the Flesh-Kincaid Grade Level (FKGL) model to extract language features, selects English textbooks as training corpus, and introduces the Graph Convolutional Network of Attention Mechanism (GCN_ATT) model of attention mechanism to construct a text complexity grading model. The research results indicated that in the 10-fold crossover experiment, GCN_ATT’s accuracy, recall, and F1 all reached over 88%. Compared to multi class logistic regression models, GCN_ATT’s various performance indicators were approximately 2% to 3% higher. Meanwhile, GCN_ ATT’s F1 standard deviation decreased by 0.7% and 1.78% compared to the other two models. In addition, GCN_ATT’s fluctuation range of recall and accuracy was less than 20%, a decrease of 12% and 18% compared to the ordered multi classification regression model. Explanation based on GCN_ATT’s text complexity grading has higher accuracy and more stable performance, providing an effective method reference for current text complexity grading problems.
Product marketing mode of economic zone by genetic algorithm in economic chaos combination prediction
Authors: Zhu Jinfu
Published: June 2024

With the development of the social economy, people continue to innovate in marketing. The most important difference between product marketing and traditional marketing is that it transcends the boundaries of time and space. Due to the development of modern network technology, the product marketing model can operate efficiently and easily, increasing people’s purchasing power in time and space. This paper is a research on the economic zone product marketing model based on a genetic algorithm in predicting the economic chaos combination. It introduces in detail the research method of combining the prediction of economic chaotic combination with a standard genetic algorithm. It also specifically analyzes the impact of three marketing models: a complete online marketing model, an online and offline marketing model, and the introduction of a third-party implanted joint marketing model on the impact of product sales in the economic zone. The research results show that, compared with the first two marketing models, after the introduction of the third-party implanted joint marketing method, the sales of product A are better. Among them, the luxury goods of group c achieved the highest sales volume of 952 in November, while the daily necessities achieved the sales volume of 1607 in December.
Soil nutrient prediction for paddy cultivation via soil fertility and pH trained hybrid architecture: Recommendations based on nutrient deficiency
Authors: S Kavitha , Chinnaiah Kotadi
Published: June 2024

Soil testing can assist in determining how much fertilizer is necessary, as it depends on the fertility and crop of the soil. Through soil fertility and pH-trained hybrid architecture, a new soil nutrient prediction model for paddy agriculture is proposed in this work. First, data acquisition takes place, which is the act of gathering soil data, and it is subsequently preprocessed using the Improved Normalization method. A soil information dataset is employed in this work to help with this. Subsequently, the preprocessed data undergoes data augmentation; the correlation method facilitates an enhanced data augmentation procedure. In this case, the data used for the correlation approach is min-max normalization data. The augmented data is used to extract soil properties such as pH level and soil fertility index. Additionally, a hybrid classifier strategy that combines RNN and Modified LSTM is suggested for nutrient prediction. Lastly, this article suggested some fertilizers for nutritional insufficiency based on the projection. The hybrid prediction classifiers that have been suggested perform better in experiments than the classic classifier models, which include LSTM, RNN, SVM, Bi-GRU, and DNN, in terms of sensitivity, accuracy, FPR, MCC, precision, and efficiency in predicting nutrients. Even though the CNN (0.075), Bi-GRU (0.080), LSTM (0.087), DBN (0.078), Enhanced-1DCNN DLM (0.080), RNN (0.085), and RFA (0.052) obtained maximal FPR ratings, the FPR of the Modified LSTM+RNN scheme is 0.052.
Cloud platform-based design of automatic monitoring and alarm system for integrated meteorological observation
Authors: Min Quanzhang
Published: June 2024

This study designs an automatic monitoring and alarm system for integrated meteorological observation based on the cloud platform to improve the automatic monitoring ability for integrated meteorological observation and the operation and maintenance management level of meteorological departments. A meteorological data collector was used to collect comprehensive meteorological observation data, transmit the collected comprehensive meteorological observation data to the main control processing module, preprocess the comprehensive meteorological observation data, and finally transmit the pre-processed comprehensive meteorological observation data to the cloud service module through the data transmission module. In the cloud service module, cloud computing and an improved K-means algorithm were used to analyze the comprehensive meteorological observation data, mine abnormal comprehensive meteorological observation data, and send alarm information to the application module. Users can view the comprehensive meteorological observation data in the cloud server on the client in real-time, thus realizing automatic monitoring and alarm for comprehensive meteorological observation. Results show that the average transmission rate of various meteorological comprehensive observation data transmitted by the system is as high as 99.48%, thereby achieving clustering of abnormal meteorological comprehensive observation data. Upon detecting abnormal meteorological data, the system sends alarm information to the mobile phone client to complete the monitoring of abnormal meteorological information.
Prevention and control tracking system based on 3D face recognition
Authors: Ma Qingxiang
Published: June 2024

A prevention and control tracking system based on three-dimensional (3D) face recognition was designed to improve the target tracking accuracy of the prevention and control tracking system. The ARM control chip of TMS320DM6446 was selected as the control chip of the ARM control module. The CMOS image acquisition sensor of the image acquisition module collected face images. The collected images were transmitted to the 3D face recognition module. The 3D face recognition module used the Gabor wavelet algorithm to extract the 3D face contour features of the face image. Moreover, the LDA algorithm was used to recognize faces based on 3D face contour features. The 3D face recognition results were compared with the faces in the face library to determine whether prevention and control tracking were necessary. When prevention and control tracking was needed, the GPS tracking and positioning module embedded in the mobile device terminal of the target object was started. The GPS tracking and positioning module was used to prevent and control the tracking of the target. The results of prevention and control tracking were displayed to the system users using a VGA display. The experimental results indicated that the designed system could accurately recognize faces and achieve prevention and control tracking of the target based on the face recognition results.
Carbon emission efficiency of China’s construction industry based on super-efficiency SBM and Tobit model
Authors: Xu Yebiao
Published: June 2024

Global warming is one of the key issues attracting international concern. The carbon dioxide emission produced by energy combustion is the main cause of the greenhouse effect, and reducing carbon emissions is considered the most effective way to deal with the greenhouse effect. The extensive production mode characterized by high energy consumption, high emission, and low efficiency in China’s construction industry intensifies the contradiction between economic development and resources and the environment, and the growth under this mode is at the expense of consuming a lot of resources and energy. The improvement of carbon emission efficiency is an effective means of achieving the goal of economic growth and carbon emission reduction simultaneously, making it necessary to accurately measure the carbon emission efficiency of the construction industry in each province, determine the influencing factors, and formulate reasonable emission reduction policies for this industry. In this study, an input-output index system of carbon emission efficiency of China’s construction industry was constructed, the carbon emission efficiency of the construction industry in each province was evaluated using the super-efficiency SBM model, and the factors affecting the carbon emission efficiency of this industry were analyzed via the Tobit model. The results showed that the average value of carbon emission efficiency of the construction industry generally showed a rising trend in a fluctuating way during the study period. From 2014 to 2022, the average carbon emission efficiency of the national construction industry presented an upward trend, from 1.122 in 2014 to 1.148 in 2022; the regional economic level (p= 0.020 < 0.05) and human capital level (p= 0.000 < 0.01) exerted obvious promoting effects on the carbon emission efficiency of China’s construction industry, while the urbanization development (p= 0.049 < 0.05) generated evident negative effects on carbon emission efficiency of this industry. The research results have important reference values for making cross-provincial emission reduction plans for the construction industry, promoting its carbon emission efficiency, and driving the research and development of green building materials and clean energy.
Emergency logistics siting-path question for engineering construction projects based on quantum particle swarm algorithm
Authors: Sun He , Cai Qiang
Published: June 2024

Emergency material security is the key to post-disaster emergency relief in complex environment engineering construction projects. Aiming at the emergency logistics center site path planning problem, the uncertain parameters of congestion time and maximum rescue time are described using trapezoidal fuzzy numbers, and the emergency logistics site path model of the two-phase engineering construction project is established. A quantum particle swarm optimization model is designed to avoid premature population convergence and maintain population diversity. The particle swarm algorithm uses the quantum spin gate’s rotation angle update to represent the particle velocity update. Taking the engineering construction project in the western mountainous area as an example, the validity and applicability of the model are verified through model comparison and sensitivity analysis. The results of the example show that in the complex environment, the quantum particle swarm algorithm takes 29.35 s in convergence time, and the particle swarm algorithm takes 40.12 s, which is 36.69% higher than the efficiency of PSO. In total cost, the quantum particle swarm algorithm has a total cost of 46,632.40 RMB, and the particle swarm algorithm has a total cost of 48,319.51 RMB, which is 3.62% lower than the cost of PSO. The quantum particle swarm algorithm’s total distance is 550.57 km, and the particle swarm algorithm’s total distance is 579.35 km, 5.23% lower than the total distance of PSO. The model established in this study can scientifically select the location of emergency facilities and formulate the emergency rescue path, reduce the response time of emergency rescue and storage costs, and provide decision support for the scheduling of emergency supplies for engineering construction projects in complex and dangerous areas.
Research on techniques for detecting brute-force attacks on corporate email
Authors: Liu Xiaomei , Hu Xuewei
Published: June 2024

Conventional brute-force attacks can now be detected and identified based on statistical analysis of logs and traffic data. However, they fail to detect low-frequency and distributed brute-force attack behaviors. To address different attack methods, new detection techniques have emerged. This study compares various machine learning algorithms and selects two methods, namely the clustering algorithm k-means and bdscan, as well as the decision tree algorithm for data learning. In one approach, normal user login data is integrated with enterprise email log data. The data is first statistically analyzed and filtered, followed by quantifying data characteristics using information entropy. Subsequently, machine learning algorithms are employed for classification, and the results are visualized for display. In another approach, labeled raw data is used to train a model using the decision tree algorithm. By comparing the two analysis results, a more accurate model can be obtained. These analytical methods can help enterprises strengthen email security and defend against low-frequency and distributed brute-force attacks.
Research on the hydraulic parameters and leak rate of natural gas flow in natural gas pipelines based on the methods of characteristic line and successive approximation
Authors: Hou Qingmin , Xiao Guanghua , Xu Fangmin , Eddine Hassan Nasser
Published: June 2024

Pressure and flow rate are the most important hydraulic parameters in natural gas pipeline flow, and leak rate is the most crucial parameter after a leak accident occurs. The study of these parameters is vital to the safey of natural gas pipelines and risk assessment after accidents. In this research, based on the conservation laws universally applicable to the motion of objects, we establish the fundamental control equation group for natural gas flow. Then, for both normal and leak conditions of pipelines, we use the characteristic line method to derive the corresponding difference equations for the fundamental control equations, thereby providing calculation methods for pressure and flow rate. Finally, we investigate the calculation method of natural gas pipeline leak rate under different leak aperture sizes, and validate the accuracy of this method through simulation examples.