bluuebunny/crossref_metadata_2025 huggingface dataset:
TATAR SÖZ VARLIĞINDAKİ KALICI BENZETMELERDE HAYVANLAR
Authors: Uyanık Beyza
Published: December 2024

Anlam biliminin çalışma alanlarından biri olan benzetme genellikle bir varlığı veya nesneyi ifade ederken başka bir varlığın veya nesnenin özelliğinden yararlanmak olarak tanımlanmaktadır. Edebiyatçılar ve dil bilimciler Türkçede teşbih, benzeti gibi adlarla da anılan benzetme üzerine çeşitli sınıflandırmalar yapmıştır. Bu sınıflandırmalar arasında en dikkat çekici benzetmelerden biri kalıcı benzetmedir (İng. fixed similes). Kalıcı benzetmeler dil kullanımında kişiden kişiye farklılık göstermeyen, bir bütün olarak herkes için aynı anlamı ifade eden, dil konuşurlarının tamamına ait olan ve ana dilini öğrenme süreçleriyle edinilen benzetmelerdir. Söz konusu benzetmeler bir dilde neyin neyle ilişkilendirildiğini, toplumun o varlığı veya nesneyi nasıl algıladığını göstermesi bakımından büyük önem arz eder. Türkiye Türkolojisi kapsamında yürüttüğümüz araştırmalar sonucunda benzetmelerin büyük oranda edebiyat bilimciler tarafından ele alındığı tespit edilmiştir. Çağdaş Türk yazı dilleri içinde kalıcı benzetmeler üzerine çok az çalışma yapıldığı, bu makaleye konu edilen Kazan Tatarcası üzerine ise herhangi bir çalışma olmadığı fark edilmiştir. Bu eksiklikten yola çıkılarak bu yazıda Tatarların bilgi dağarı içinde hazır bulunan benzetmeleri saptamak amaçlanmıştır. Kalıcı benzetmeleri bir milletin hafızasını oluşturan sözlüklerde bulmak mümkündür.
Çağdaş Türk yazı dilleri içinde köklü bir yazı dili geleneğine sahip olan ve sözlük olanakları bakımından da en gelişkinlerinden biri durumundaki Kazan Tatarcasında kalıcı benzetmelerin bir hayli fazla olduğu açıkça görülmektedir. Tatar söz varlığındaki kalıcı benzetmelerin büyük bir kısmı tabiat unsurlarına dayanmaktadır. Söz konusu tabiat unsurlarının başında insan hayatında özel bir yeri olan hayvanlar gelmektedir. Biz de bu çalışmayı hayvanları konu alan benzetmelerle sınırlandırmak istedik. Fuat Ganiyev tarafından hazırlanan Tatar Tĕlĕnĕñ Añlatmalı Süzlĕgĕ (2015-2021) esasında benzetme edatı odaklı taramalar yapılmıştır. Bu taramalar sonucunda; sözlükte madde başı olan at, kedi, köpek, kuş, inek, balık, tavuk, horoz, kirpi, tavşan, öküz ve karınca gibi hayvanları konu alan benzetmeli anlatımlar tespit edilmiştir. Burada tespit edilen maddelerden seçilen her bir benzetme için örnek cümle verilerek kalıcı benzetmelerin Tatar söz dizimindeki kullanımlarını göstermek amaçlanmıştır. Bu sayede hayvanların Tatar kültüründe hangi özellikleriyle var olduğunu, halkın onları nasıl algıladığını, nelerle ilişkilendirdiğini tespit etmek imkânı olacaktır.
TÜRKÇEDE TERSİNE HİTAP: MUHATABIN PERSPEKTİFİNİ KULLANARAK SESLENME STRATEJİSİ ÜZERİNE
Authors: Dinçer Aslıhan
Published: December 2024

Bu makalede geleneksel hitap biçimlerinden farklı bir iletişim yolunun benimsendiği tersine hitap olgusu ele alınmaktadır. Tersine hitap, muhatabın perspektifinden konuşma ya da onun rolünü üstlenme yoluyla gerçekleşmektedir. Bu tür hitaplar, muhataptan ziyade konuşurun kimliğini veya ilişkideki rolünü vurgulayan yapılardır.
Daha çok genetik veya kurgusal akrabalık ilişkileri içinde, özellikle de ebeveyn-çocuk arasındaki etkileşimlerde ortaya çıkan bu iletişim modeli, mantıksal açıdan tutarsızlık içerse de hitap sisteminin esnek yapısına bağlı olarak gelişen ve yalnız Türkçede değil, birçok dünya dilinde de yaygın biçimde karşılaşılan bir kullanım biçimidir. Örneğin bir annenin çocuğuna “Anneciğim sana masal okumamı ister misin” veya bir babanın çocuğuna “Babacığım bugün parka çıkmıyoruz” biçimindeki ifadeleri, tersine hitap içeren kullanımlar arasındandır.
Bu hitap biçimlerinin genellikle muhataba karşı sevgi, şefkat, sempati veya yakınlık ifade etme; yani duygusal bir bağ kurma amacıyla tercih edildikleri görülmektedir. Bununla birlikte bazen komut işlevi ile de ortaya çıkabildikleri dikkati çekmektedir. Bu, büyük çoğunlukla tersine hitapların yaş, tecrübe veya sosyal konum itibarıyla üstte bulunan, yani hiyerarşik bakımdan güçlü olan kişi tarafından alt pozisyonda bulunan kişiye yöneltilmesi ile de ilgilidir. Buna göre bir ebeveynin çocuğuna söylediği “Odanı topla anneciğim” cümlesi uyarı, istek, emir, talimat değerine de sahip olabilir. Dolayısıyla tersine hitapların yalnızca iletişimsel bir işlevi bulunmamaktadır. Bunlar aynı zamanda sosyal ilişkilerdeki duygusal bağları pekiştiren ya da başka pragmatik anlamlar yüklenen dilsel araçlar olarak da işlev görmektedirler.
Tersine hitap biçiminin ortaya çıkması, yalnızca dilin zamanla değişmesine bağlı bir sonuç olarak değerlendirilemez. Çünkü sosyo-psikolojik bir yönü de bulunan bu olgu, dilde yenilik arayışının ve farklı olma arzusunun bir yansıması olarak da dikkati çekmektedir.
Bu çalışmada tersine hitapların dilde nasıl yapılandıkları, hangi durumlarda kullanıldıkları, hangi pragmatik işlevlere ve hangi yapısal özelliklere sahip oldukları üzerinde durulacaktır.
KARŞILAŞTIRMALI BİR ÇALIŞMA: PERİLİ KÖŞK VE GULYABANİ'DE TOPLUMSAL NORMLAR VE HURAFELER
Authors: Dündar Faruk
Published: December 2024

Bu çalışma, Ömer Seyfettin’in Perili Köşk ve Hüseyin Rahmi Gürpınar’ın Gulyabani eserlerinde ev sahibi figürlerinin, köşk unsurunun, şehirli ve bilgili insan figürlerinin, hurafelerin toplumsal etkilerini kapsamlı bir şekilde incelemektedir. Her iki eser, toplumsal normlar, bireysel inançlar ve bunların edebî temalar üzerindeki etkilerini analiz ederek, korku ve gerilim temaları aracılığıyla toplumsal yapının ve bireysel psikolojinin etkilerini ortaya koymaktadır. Perili Köşk’te Hacı Niyâzi Efendi, toplumda değerli biri olarak görülürken, para kazanmak için yaptığı düzenbazlıklar, toplumun bireylere verdikleri değerin sorgulanmasına yol açar. Öte yandan, Gulyabani’deki Şefika Hanım, toplumun dar görüşlülüğünden etkilenirken, bilgi ve yeteneklerinin yeterince değer görmemesi, onun toplumdan dışlanmasına yol açar. Bu iki karakter, toplumsal değerlerle çatışmalar yaşarken, bireysel ve toplumsal kimliklerini sorgulama sürecine girerler. Köşk unsuru ve doğaüstü olayların işlenişi, korku ve gerilim temalarının metinlerde nasıl vurgulandığını gösterir. Perili Köşk’te, köşkün geçmişteki trajik olayları ve korkutucu doğası okuyucunun korku hissini yoğunlaştırır. Diğer yandan, Gulyabani’de doğaüstü varlıkların etkileri, karakterlerin korkularını somut hale getirerek korku atmosferini güçlendirir. Sermet Bey ve Hasan karakterleri arasındaki sosyal durumlar ve karakter farklılıkları, modern şehirli yaşam ile kırsal yaşam arasındaki gerilimleri sergiler. Sermet Bey, konfor ve eğlence odaklı bir yaşam sürerken, Hasan bilgiye açlığı ve meraklı tavrıyla öne çıkar. Bu iki karakterin farklılıkları, bireylerin kimlikleri üzerindeki etkileri detaylandırır. Metinlerdeki hurafeler ve batıl inançlar, toplumların bilinmeyen olaylarla başa çıkma mekanizmalarını temsil eder. Hurafeler, toplumun korku ve kaygılarını yönetmek için geliştirdiği savunma mekanizmaları olarak işlev görürken, eğitim ve bilgi eksikliği bu inançların toplumda kalıcı hale gelmesine yol açar. Sonuç olarak, Perili Köşk ve Gulyabani eserleri, bireylerin içsel çatışmalarını, hurafelerin etkilerini ve doğaüstü unsurların bireysel psikoloji üzerindeki yansımalarını ele alırken, toplumsal eleştiriyi de barındırmaktadır. Yazarlar, toplumsal normların sorgulanabilirliğini düşünmeye ve bireysel inançların güçlenmesi için mücadele etmeye yönlendirmektedir. Bu eserler, yalnızca korku ve gerilim temalarıyla değil, aynı zamanda birey ve toplum arasındaki dinamik ilişkiyi yansıtmasıyla da önem arz etmektedir. Bu karşılaştırmalar, doküman incelemesi yöntemi kullanılarak gerçekleştirilmiştir.
AHMET HAMDİ TANPINAR’IN HUZUR ROMANINDA ZAMAN KURGUSU
Authors: Mengi Nesrin
Published: December 2024

Yansıtmacı romanda yazar fiziksel gerçekliği nesnel bir gerçeklikle romana yansıtmaktır. Modernist anlayışa göre ise, gerçek tek değildir. İnsanın bilinci gerçeğin merkezindedir. Edebiyata da yansıyan bu anlayış romanın bilinen zaman algısını değiştirir. Zaman, roman figürünün algısı doğrultusunda çizgisel olmaktan çıkarak değişken bir yapıya bürünür. Başka bir ifadeyle, yansıtmacı kurguda geçmiş, an, gelecek kronolojik bir sıralamayı izlerken kurgunun odağına bilinçaltının yerleştiği modernist romanla birlikte, iç dünya ile dış gerçeklik arasındaki sınırlar ortadan kalkar ve insan zihnindeki karmaşık zaman sıralaması esas alınır.
Yansıtmacı roman, gerçekliği sağlam bir neden sonuç ilişkisine dayandırır ve sınırları net olarak belirlenmiş zaman algısına sahiptir. Bu anlayışın temel sebebi, nesnel gerçeklikte zamanın yalın, sürekli olarak ileriye dönük oluşu ve yazarın bu nesnel bilgiye bağlı olarak hareket etmesidir. Buna karşın modernist romanda gerçek tek değildir. Bireyin iç dünyası merkeze alınır, zaman algısı değişir. Figürün algısına dayandırılan zaman anlayışı çizgisel/kronolojik olmaktan çıkar, görece bir hal alır. Başka bir ifadeyle, bilinçaltının yerleştiği modernist romanla birlikte, iç dünya ile dış gerçeklik arasındaki sınırlar silinir. Yazar bu kez kurgusunda insan zihnindeki kronolojik olmayan zaman çizgisine bağlı kalır. Çünkü modernist edebiyatın amacı, parçalanan, karmaşık gerçekliği romanın biçimine de taşımaktır.
Romanda gerçekçi estetik modernist tarzla birlikte hakimiyetini kaybeder. Bireyin bilincinin öne çıkmasıyla romanın en temel enstrümanlarından biri olan zaman kurgusunda kırılma gerçekleşir. Böylece bireyin algıladığı zaman öncelenir ve bu zaman algısı karmaşık bir zaman kurgusunu beraberinde getirir.
Türk edebiyatında dönemin yaygın biçim anlayışının dışına çıkan, alışılagelen yöntemden, figür olmayan anlatıcının neden sonuç ilişkisi ve kronolojik düzen içinde olaylar dizisini anlatması formundan uzaklaşan bu tarz romanların ilk örnekleri 1940’lı yıllarda kaleme alınmaya başlanır. Makalede, bu romanlardan biri olan Ahmet Hamdi Tanpınar’ın Huzur adlı eserinin kronolojik olmayan modernist zaman anlayışının ve bu anlayışın kişilerin iç dünyalarında yarattığı karmaşıklığın kurgudaki yeri üzerinde durulmuştur. Romanda geriye dönüş, iç konuşma tekniklerinin kullanılmasıyla zamanda oluşan sıçramalar karmaşık ve değişken ruhsal durumun göstergeleri olarak ele alınmıştır.
NÂBÎ DİVANI’NDA MERDİVEN VE SEMBOLİK YANSIMALARI
Authors: Nayir Ekinci Hilal
Published: December 2024

Mimari unsurlar, dünya edebiyatında yalnızca fiziksel mekânları temsil etmez, aynı zamanda soyut ve sembolik anlamlar taşıyan ögeler olarak da yer bulur. Mimari elemanların edebiyatta bir anlam çerçevesi içinde ele alınması bu yapıların işlevsel özelliklerinin ötesine geçerek insanın duygusal, ruhsal ve düşünsel dünyasıyla bağlantı kurmasını sağlar. Bu bağlamda, merdiven, hemen her kültürde sembolik anlamlar kazanan bir yapı elemanı olarak öne çıkar. Merdivenin anlatılarda yer bulmasının nedeni onun yalnızca mekânlar arasında fiziksel bir bağ kurması değil, aynı zamanda yükseliş ve düşüş gibi soyut kavramları da temsil edebilmesidir. Merdivenler, özellikle insanın ruhsal ya da sosyal mertebelerdeki yükseliş ve düşüşlerini sembolize eder. Edebiyatın her döneminde ve türünde bu mimari figürün, bir benzetme aracı olarak kullanıldığı görülür. Merdiven, aynı zamanda insanın çabalarının, başarılarının, başarısızlıklarının ya da hayatta karşılaştığı engellerin bir simgesi olarak da değerlendirilir.
Nâbî, klasik Türk edebiyatının en önemli temsilcilerinden biri olarak, yaşadığı dönemin sosyal ve toplumsal yapısını şiirlerine yansıtmış bir şairdir. Onun şiirlerinde devrin sosyo-kültürel özelliklerine dair izler bulmak mümkündür. Nâbî, şiirlerinde zaman zaman halkın gündelik diline yer verir, sosyal çevre ve toplumsal yapıyı eserlerine taşır. Özellikle halk arasında sık kullanılan deyimler, gündelik yaşamda karşılaşılan nesneler, onun hikemi üslubunu besleyen önemli unsurlar arasındadır. Gözlem gücünden sıklıkla faydalanan Nâbî’nin şiirlerinde gündelik hayatın sıradan nesneleri, mecazlar ve benzetmeler aracılığıyla daha derin anlamlar kazanır. Bu nesnelerden biri de merdivendir. Merdiven, bir yandan işlevselliğiyle insan yaşamının her alanında var olan bir yapı elemanı ve nesne olarak görünürken, diğer yandan Nâbî’nin şiirlerinde kimi zaman derin sembolik anlamlar taşır. Gündelik hayat içerisinde göze batmayan bu mimari unsur Nâbî’nin divanında yer bularak çoğunlukla sembolleşir. Bu çalışma kapsamında Nâbî’nin divanı taranarak merdiven kelimesinin geçtiği şiirler tespit edilmiş ve bu şiirlerde merdivene yüklenen sembolik anlamlar incelenmiştir. Yapılan inceleme sonucunda Nâbî’nin hikemi şiir geleneği içerisinde merdivenle ilgili olan mecaz ve benzetmeleri ortaya çıkarılmış, bu figürün şairin düşünce dünyasındaki yeri değerlendirilmiştir.
Metamorphic Characteristics Analysis of 3-CRS Parallel Mechanism Based on Cylindrical Joint Locked
Authors: Liu Shanzeng
Published: December 2024

A novel 3-CRS parallel mechanism with six degrees of freedom is proposed and the metamorphic characteristics of 3-CRS parallel mechanism are studied based on cylindrical motion variable locked in the sub-chain. Firstly, the kinematic parameters of 3-CRS parallel mechanism are analyzed, and the closed equations of the kinematic variable are obtained. Secondly, the screw system of the sub-chain of 3-CRS parallel mechanism is analyzed, and the motion characteristics of 3-CRS parallel mechanism are mastered. Thirdly, the sub-chain constraint-screw system of 3-CRS parallel mechanism is studied in detail when the moving or rotating variables of cylindrical pair are locked. Finally, the metamorphic characteristics of 3-CRS parallel mechanism are discussed when the moving or rotating variables of cylindrical pair are locked. The results show that the metamorphic characteristics of 3-CRS parallel mechanism can be obtained by locking the cylindrical pair parameters.
Enhancing Collaborative Robots Performance Through Bat Algorithm Based Multi-Objective Optimization
Authors: Sivakumar R  , John Alexis S  , Manickavasagam A  , Rajagopal Sivakumar
Published: December 2024

Collaborative robots (cobots) are progressively becoming essential in industrial settings, where they operate in conjunction with human workers to execute intricate tasks. Optimising the operational efficiency of cobots entails various obstacles stemming from conflicting aims, including the minimisation of task completion time, reduction of energy consumption, and assurance of safety. This work presents a hybrid optimisation method that integrates the advantages of the Tabu Search algorithm and the Bat Algorithm to tackle these multi-objective difficulties. The Tabu Search is proficient in local search optimisation but frequently becomes ensnared in local optima, whereas the Bat Algorithm, derived from bat echolocation, excels in global search yet may exhibit deficiencies in precision during fine-tuning. The suggested algorithm improves global exploration and local exploitation by hybridising these two strategies, hence ensuring effective job allocation, trajectory planning, and resource management in dynamic collaborative robot environments. The hybrid algorithm is utilised to optimise various objectives inside a simulated collaborative robot environment. Experimental findings indicate substantial enhancements in cobot performance, especially for the equilibrium of work efficiency, safety, and energy consumption, relative to conventional optimisation techniques. This research emphasises the efficacy of integrating bio-inspired algorithms with traditional optimisation methods to address intricate multi-objective challenges in industrial contexts.
Performance Comparison Between Collaborative and Industrial Robots: A Study Using Digital Twins of Robotic Cells
Authors: Vitalli Rogério Adas Pereira , Fioretti Frederico Garavati , Santos Paulo Bueno , Rebouças Marcelo Campos , Freitas Julio Cesar de Almeida
Published: December 2024

The industry 4.0 is characterized by a highly personalized processes from demand variance, which makes production status information the key to controlling and better adapting to any scenario the process finds itself in. Therefor Cyber-physical systems perfectly fit this necessity by simulating virtual copies of the process allowing to validate the current state of production and simulate different scenarios to reach the best outcome based on demands. Furthermore, COBOTs are currently being incorporated in the industry as an attempt to attend the needs of the “smart factories” but still shares the robotics market with industrial robots. From this, this research aims to describe the methodology to make robotic cell digital twins using robotic simulators and stablish a clear difference between industrial and collaborative robots through time-related information. For that two digital twins of the same physical robotic cell were build, one using the CRX-10iA COBOT model and the other the LR Mate200iD robot model using the ROBOGUIDE robot simulator, version 9.4, validating their differences and how it changes each robot cycle times. The results show different discreet movements between recorded points, different work envelope sizes and different times for each movement (joint and linear). Concluding that COBOTs are considerably slower than industrial robots but more flexible to deal with a changing environment.
Effect of Environmental Temperature on the Tensile Strength of ABS Plastic Utilizing FDM Technology
Authors: Cuc Nguyen Thi Hoa , Nam Nguyen Dang , Son Nguyen Hong , Gin Le Anh , Nga Pham Thi Hong
Published: December 2024

The article emphasizes and evaluates research on 3D printing in various environmental temperatures using fused deposition modeling (FDM). FDM is a dominant technology with high performance used in 3D printing (especially plastic) in Vietnam. 3D printed products depend on printing materials, printing design, layer height, infill speed, material shrinkage, flow, adhesion, support, cooling, heat dissipation, and temperature. In this article, we will conduct an in-depth study of the printing environment temperature for acrylonitrile butadiene styrene (ABS) material to test the influence of the printing environment temperature on the material’s mechanical properties. The printing environmental temperature is distributed from 30, 45, 60, and 75 °C, respectively. The study results show that for the printed sample to have the best mechanical properties, the printing environment temperature should be between 30 °C and 45 °C. with the recommended parameters: printing temperature 240 °C, printing angle 45 °C /-45 °C, filling density 100% and thickness 0.2 mm.
A Speed Guidance Simulation Model to Improve Signalized Intersection Traffic Control
Authors: Liu Xiaofeng , Dai Runjia , Gao Limei , Qiu Jie , Rong Zhitao , Li Hong
Published: December 2024

The existing speed guidance models always do not consider the impact of complex traffic dynamics on the signalized intersection traffic control. Firstly, this paper divided the intersection entrance area into three zones, i.e., the free driving zone, the vehicle fleet formation zone, and the speed guidance zone. Then, the vehicle fleet merging and splitting method was presented. Next, different speed guidance strategies at signalized intersection were proposed. Finally, the speed guidance simulation system was implemented based on Prescan and Matlab/Simulink, and the acceleration guidance strategy was simulated. The simulation results show that the traffic efficiency is improved significantly in terms of the vehicle passing time and vehicle stops.
Enhanced Grey Wolf Optimizer for Multi-USV Task Allocation in Maritime Environments
Authors: Zhang Liqi , Li Yvheng , Luo Qinghua
Published: December 2024

Task allocation ensures the efficient execution of tasks by multiple unmanned surface vehicles (multi-USVs) at sea. In order to enhance the efficiency of multi-USV task execution in maritime environments, this study proposes a novel task allocation strategy for multi-USVs based on an Enhanced Tent Grey Wolf Optimizer (ETGWO) integrated with path planning. Firstly, a distance correction factor is introduced to better simulate the distances between tasks in real maritime scenarios. Secondly, to improve the task allocation performance of the GWO, the tent chaos model is introduced to enhance the diversity of the initial population. Additionally, a population updating strategy is adopted, selecting multiple similar grey wolves and distancing them from weaker ones, thereby increasing the diversity of grey wolf individuals and expanding their hunting range. Subsequently, selective path planning is conducted to determine the routes. Finally, the performance of the proposed algorithm is evaluated using international benchmark functions and in a multi-USV task allocation environment. The results indicate that the proposed algorithm offers several advantages, including rapid convergence and broad applicability, enabling it to achieve effective task allocation schemes that are both reasonable and efficient.
A Position and Attitude Precise Control Method of Electric-Assisted Transfer Vehicle
Authors: Xu Yuefei , Jia Fengru , Xu Yinfei , Meng Haojie , Shen Jinggui , Wang Xiu , Hu Yueli , Liu Xuqiang , Liu Mingjie
Published: December 2024

This paper presents a control method for adjusting the position of an electrical-assisted transfer vehicle in the context of substation auxiliary operation platforms. The proposed method integrates robotics, automatic control technology, and network communication technology to achieve precise attitude control and effective position adjustments. The control model is based on a two-wheel differential model, with a focus on posture adjustment strategies and dual-loop control. The paper also discusses the use of binocular vision for detecting target information and the 3D reconstruction process. The effectiveness of the proposed method is verified through a specific example, demonstrating its ability to meet error threshold requirements.
An Evaluation Method of Equipment Quality Condition Based on GPR and QMU
Authors: Shan Xin , Sun Yuan , Jin Kai
Published: December 2024

Aiming at the problems of incomplete theory, lagging means and methods of equipment quality condition assessment, the performance parameters are predicted based on Gaussian process regression model by integrating multi-source information such as equipment test data, task duration data and environmental factors. According to the uncertainty characteristics of GPR prediction results, the uncertainty is quantified from the perspective of mean and variance, and the calculation method of confidence coefficient CF is proposed, so as to give the equipment quality condition assessment method based on QMU.
Artificial Intelligence Based Solar Power System for Energy Management
Authors: Nigam Akhil
Published: December 2024

As energy demand is increasing and there are several environmental challenges intensify which tend towards the need of sustainable energy solutions. There are many renewable energy sources available out of which solar power play most vital role for providing reliable energy solution. Using such energy source, it helps to overcome environmental aspect like carbon gas emission problems etc. Hence sometimes optimizing solar energy generation and integrating with existing energy systems may become a complex problem. So artificial intelligence (AI) has been introduced which helps to enhance reliability and scalability of solar power. In this manuscript, implementation of solar energy in various sectors using AI has been discussed. Using such an emerging technique, it is an ease to optimize the position of solar panel, forecast environmental conditions for better energy production and enable proper energy management system. Using AI it facilitates predictive maintenance cost and reduction of energy production cost. rge Span Propping System is a new type of system proposed for the erection of reinforced concrete composite slab with lattice girders in view of improving erection efficiency, combined with the application status in China. In order to study its performance, both in-situ monitoring and numerical simulations were conducted. The monitoring results show that the stress and deformation of the prefabricated layer of the composite slab can meet the requirements of the current Chinese codes, indicating the feasibility of the new propping system, and the bending stiffness of prefabricated layer can be fully utilized. The simulation results show that the stiffness of the lower support frame of the propping system is small, the deformation of which should be considered in the design and installation of propping system. The stability analysis shows that the propping system is prone to lateral instability along the direction of lattice girders. And proper measures should be used to enhance the stability of the system, such as setting cross braces or tie with vertical members.
Design of Aquaculture Environment System Based on Remote Communication Technology
Authors: Chu Xinyu , Li Yinyin , Jin Jiaxin
Published: December 2024

This design addresses the problems in traditional aquaculture environments by identifying dissolved oxygen, turbidity, and temperature as key environmental parameters for system regulation. An innovative aquaculture environment system that integrates sensor technology, automation technology, and wireless communication is constructed. The system uses AT89C52 microcontroller, DS18B20 digital temperature sensing module to detect water temperature, DS1302 real-time clock module to provide real-time time for the system, dissolved oxygen sensor to detect the content of oxygen dissolved in water, turbidity sensor to detect water quality, and relay module to simulate and control oxygenation operation. The microcontroller in the system analyzes the real-time information obtained by the detection device and controls the LCD1602 LCD display to display the information. Finally, through hardware function debugging, it was demonstrated that the system is capable of real-time detection and control of aquatic environment parameters, and can achieve remote communication between users and aquaculture environment systems. Overall, this system has certain application value and significance in the field of aquaculture.
Threat Target Infrared Image Recognition Method Based on Improved One-Stage Deep Network
Authors: Gao Liming , Li Chao , Wei Xuemei , Sun Yanxin , Lin Wei , Zhang Xiangyong
Published: December 2024

The infrared image recognition of threat targets applied in the military field has become one of the hotspots in threat target detection. However, due to the small size of the target in the infrared image, complex urban background, and many interference items, the detection accuracy has always been low. Therefore, we propose a threat target infrared image recognition method based on an improved one-stage deep network, using YOLOv4 as the deep learning algorithm framework, replacing the original CSPDarknet53 with the more accurate ResNet50 as the feature extraction network, and applying the GIOU loss function to the algorithm. Currently, the algorithm can achieve a recognition accuracy of 91.2%, which is 5.1% higher than before the improvement.
A Comparative Study of Distance Functions in Enhancing Cluster Quality Through Gaussian Kernel-Based Fuzzy C-Means
Authors: Simtrakankul Chantana , Dungkratoke Narongdech , Laomala Janejira , Kaennakham Sayan
Published: December 2024

This study evaluates various distance functions in Gaussian Kernel-based fuzzy C-means clustering across six datasets. Key findings include the superior performance of the Cosine distance, which consistently yielded the lowest Davies-Bouldin scores, notably 0.3823 and 0.5226 for Datasets 5 and 6, and required fewer iterations to converge, with figures as low as 7 and 8. Squared Euclidean distance also showed effectiveness, particularly with fewer iterations needed for convergence, such as 22 and 41 for Datasets 1 and 3. In contrast, Chebyshev and Minkowski distances, requiring up to 119 iterations for Dataset 2, demonstrated lower efficiency. The evaluation process also involved additional clustering quality metrics, including the Silhouette and Calinski-Harabasz indices, though only the Davies-Bouldin results are detailed in this paper. This analysis highlights the importance of choosing appropriate distance metrics to optimize clustering quality and computational efficiency.
Pruning Fuzzy Neural Network Using Group Sparsity Regularization
Authors: Yuan Xin , Yang Jun , Wang Fuxi , Xu Yongyong , Gao Tao
Published: December 2024

As one interpretable technique, fuzzy neural network (FNN) can be equipped into any deep models, but it faces the problem of high dimension when FNN is used for designing deep networks. To break the curse of dimensionality, in this paper, we use regularization method to reduce the influence of dimensionality on FNN, and based on L2,1 norm (Group Lasso) two different regularizer terms are designed. Using the gradient method, FNN can learn to evaluate the importance of features and rules, respectively, and then realizes feature selection (FS) and rule generation (RG). By dint of the simulation results on the benchmark classification problems Iris and Sonar, the validity of our proposed fuzzy classifier is verified, i.e., without decreasing the classification performance, the structure of the fuzzy model can be simplified. The regularized FNN can be easily used for interpretable deep model design.
An Improved Swin Transformer with Dilated Convolution for Fault Classification of Transformer Substation
Authors: Lu Zhiliang , Zheng Hua , Jiang Cheng
Published: December 2024

Defect detection of substation equipment components is an indispensable part of grid security situational awareness, and the regular inspection of equipment is related to the secure operation of the power system. For the current problem of low recognition accuracy of the defect classification model of substation equipment components, this paper proposes a defect classification method based on the improved Dilated Convolution Swin Transformer (DC-Swin). First, an improved Dilated Convolution Self-Attention Module is constructed for extracting the regions of equipment components that contain rich defect-specific information; Secondly, this paper constructs an image dataset using infrared imaging of defects of equipment components to pre-train the module, which enables the Self-Attention Module to learn the important regions in the image and reduces other ineffective information interfering with the model; Finally, this paper incorporates pre-trained modules, which have undergone preliminary training on flawed infrared imaging datasets, with the Swin Transformer, specifically in the channel dimension. By seamlessly integrating crucial feature regions into the original image, the network model is empowered to delve deeper into the intricate dependencies among various features, resulting in an enhanced and more discriminative feature representation capability. The proposed method improves the accuracy by 6.17% compared to the original Swin Transformer model. The results show that the method achieves the optimal utilization of the defect classification model on the acquired dataset and provides a solid foundation for substation safety situational awareness.
A Data Mining Approach to Modeling Annual CO2 Emission Per Capital for Asian Countries
Authors: Wu ChienHsing , Kao Shu-Chen
Published: December 2024

Using the classification-based data mining approach, this study aims to model annual CO2 emission (A-CO2 E) per capital for Asian countries. The dataset collected for the model contains 1287 cases from year 1985 to 2022 with 41 countries involved. The original dataset was granulated to investigate existence of noise label to ensure usefulness, followed by selecting the best one with highest classification accuracy (CA) and robustness (AUC) among five classifiers. Demographics of variables and generated decision rules are presented. Main findings are as follows. (1) Tree-based model reveals the best classifier with CA 0.9067 and AUC 0.962, (2) Country code presents the highest classification power of level of A-CO2 E, showing an individual sign leading to the level of A-CO2 E, (3) The A-CO2 E of some countries higher than that of the World oscillate as year goes, (4) Asian averages of A-CO2 E from 5.8405 (1985) to 7.2950 (2022) are higher than that of the World after year 2000, but this trend likely goes flat, signifying that Asian countries increasingly put efforts on reducing A-CO2 E while increasing GDP.
Satellite Telescope Self-Calibration Through Precise Stellar Data Mining
Authors: Ryabinin Konstantin , Sarras Gerasimos , Löffler Wolfgang , Erokhina Olga , Biermann Michael
Published: December 2024

This paper is devoted to the development of an astrometric solver aiming to reveal precise stellar parameters by mining the data provided by a satellite telescope. First, we focus on the self-calibration model of the satellite telescope intended to absorb the telescope’s optical and mechanical distortions and the satellite’s imprecise attitude. Our experiments reveal that the calibration model based on the Legendre polynomials can cope with different types of input data distortions. Second, we demonstrate the performance of the solver for different test cases on the CPU cluster. So far we showed that 275 millions of stellar observations can be processed on 64 cluster nodes within 2.5 hours. The viability of this approach is proven along with the indication of bottlenecks and challenges for future work.
Early Drought Prediction Using MODIS Time Series with LSTM: A Study of the Western United States
Authors: Limchupanpanich Somsak , Sritarapipat Tanakorn , Kaennakham Sayan , Ongsomwang Suwit
Published: December 2024

Droughts impose severe global challenges by affecting water resources, agricultural productivity, and ecosystems, and presenting considerable socioeconomic risks. In the Western United States, increasing aridity and reliance on limited water sources aggravate these issues. Accurate and timely drought forecasting is essential for effective water management, mitigating agricultural impacts, and addressing broader economic and environmental concerns. This research introduces a novel approach for early drought prediction by using remotely sensed data, with a specific focus on the drought-prone states of California and Nevada. We analyse MODIS (Moderate Resolution Imaging Spectroradiometer) time series data from 2001 to 2015 to derive indices such as the Vegetation Condition Index (VCI) and Temperature Condition Index (TCI), These indices serve as monthly indicators of drought severe. We utilize the Long Short-Term Memory (LSTM) model to predict the Vegetation Condition Index (VCI), Temperature Condition Index (TCI). Subsequently, the annual average values of these indices are employed with linear regression to estimate drought severity levels. The results indicate that this hybrid approach enhances predictive accuracy by effectively integrating temporal dynamics with vegetation indices, providing actionable drought forecasts.
Design and Research of Four-Axis Aircraft Control System Based on STM32F411
Authors: Bao Yiqin , Xu Wenbin , Bao Yulu
Published: December 2024

Four-axis aircraft is a type of aircraft with a simple structure and versatile applications. Compared to traditional fixed wing aircraft, four-Axis Aircraft have higher flexibility and can achieve takeoff, landing, hovering, and more precise aerial operations in different terrains. This article designs a four-Axis aircraft control system based on STM32F411, introduces the current research status of four-axis aircraft, the basic architecture and control principles of four-axis aircraft, provides a method for controlling the flight attitude of four-axis aircraft on the STM32F411 microprocessor platform, and analyzes and studies the algorithms and mathematical principles used in the control system.
Risks and Threats in Using Generative AI
Authors: Zlateva Plamena , Sivakumar Rajagopal , Velev Dimiter
Published: December 2024

Generative artificial intelligence (GenAI) is a cutting-edge technology capable of creating new content–text, images, video and sound based on predefined data. Despite the enormous potential for innovation, this technology carries with it serious risks and threats. The article aims to discuss the technical risks, ethical and social challenges, labor market and economic consequences, and legislative and regulatory challenges. Recommendations are proposed to reduce these risks through more responsible use, transparency and the development of adequate regulations.
Artificial Intelligence Assisted English Learning Based on Large Language Model
Authors: Liu Jianghui , Sun Yu , Chen Haolin , Zhi LiMin
Published: December 2024

This study focuses on the cutting-edge field of Large Language Model. Artificial Intelligence-assisted English teaching has been under-researched and conflicted with the practice of English language teaching. To better address this problem, researchers read relevant literatures, design several formulas, test, compare, and select a new and efficient Large Language Model based on the existing transformer model. This can be deeply integrated with the theories of pedagogy, psychology, and linguistics in real English teaching environments to promote the innovation of the English teaching mode. It also demonstrates how Large Language Model can be used as a powerful tool in English language teaching and learning.
Research on the Impact of Acoustic and Vibration Characteristics of Noise Reduction Panels in Helicopter Cabins
Authors: Zhang Guibao , Wang Fengjiao , Cheng Qiyou
Published: December 2024

The main reducer structure noise is one of the main sources of noise in the helicopter cabin. By controlling this noise, further noise reduction in the helicopter cabin can be achieved. To this end, a proposal has been made to add vibration isolation design to the connecting partition between the main reducer and the cabin, reducing the transmission of gear vibration to the airframe from the transmission path. To verify the mid-high frequency vibration reduction and noise reduction performance of this scheme, a dynamic model of the acoustic-vibration coupling system of the cabin section structure/sound field is established based on the helicopter cabin structure using the finite element method. On this basis, the impact of the stiffness, number/position, and surface density of the partition’s elastic connection units on the cabin sound pressure are analyzed. The results show that: reducing the stiffness of the elastic connection units between the partition and the cabin can reduce the sound pressure level inside the cabin; increasing the number of elastic connection points will lead to an increase in the sound pressure level inside the cabin; changing the position and number of elastic connection units can adjust the noise level inside the cabin.
S++‐GA: a high performance MAC protocol
Authors: Meng W. , Habib I. , Saadawi T.N.
Published: December 2024

A media access control (MAC) protocol supporting Slot Reuse for improving the performance of S++ networks, called group addressing simple double plus and denoted by S++‐GA, is presented. S++‐GA obtains higher performance than S++ via a four‐fold approach: (1) Dividing all the nodes in S++‐GA into multiple groups and assigning each group a group code. (2) Establishing a post‐destination group slot release rule that releases a busy slot after the busy slot departs from its destination group. (3) Introducing a modified transmission rule, named group transmission rule. (4) Modifying cyclic bandwidth‐allocation rule of S++. In contrast to S++ with Destination Release (DR) (S++‐DR) or with Erasure Nodes (EN) (S++‐EN), S++‐GA buffers only partial node‐address for slot release but not the whole node‐address or the whole slot. So, the system latency and access delay of S++‐GA are less than those of S++‐DR and S++‐EN.
Signaling network architectures in B‐ISDN environments
Authors: Rosenberry Robert D. , Sidhu Deepinder P.
Published: December 2024

Telecommunications networks are evolving from rigid, hierarchical time division multiplexed networks into Broadband‐ISDN networks based upon Asynchronous Transfer Mode infrastructures. As the transport networks change, the signaling network architectures must also progress. Currently, signaling network architectures are optimized for operation over point‐to‐point circuit switched networks. In this paper, we examine the current hierarchical signaling network architecture and propose two alternatives for use in B‐ISDN environments – a flat model and a hybrid model combining features from the other two models. Analysis of the network architectures is performed using a discrete event simulator for ATM networks with additional components modeling the operation of telecommunications networks.
Hierarchical photonic LANs using spectral folding
Authors: Joseph Sabu , Todd Terence D.
Published: December 2024

Local area networks based on passive optical star couplers were originally proposed to exploit the enormous bandwidth of optical fiber [1]. Unfortunately, the maximum throughput of these systems is restricted by the limited number of channels which can be achieved in practice. To address this problem, two‐level hierarchical WDM LANs have been proposed [2–4]. These architectures can increase system capacity by permitting a set of local channels (i.e., the local waveband) to be spatially reused across a number of local optical networks (LONs). Full connectivity is maintained by a globally shared remote waveband. In systems of this kind the channels are typically accessed using a single wavelength‐agile transmitter at each station [4]. Since fast receiver tuning is currently more difficult to achieve, practical designs are based on dynamic transmitter tuning only [2–4]. Receiver tuning is performed only rarely or during system initialization.

An unfortunate complication with hierarchical networks is that stations must maintain a presence in both wavebands. In fixed‐tuned receiver designs this means that each station must have one receiver for each waveband. As a result, the amount of station receiver hardware is at least twice that required for single passive star networks just to maintain full connectivity. In this paper, a simple technique is proposed for eliminating this requirement. In the remote section of the network, fixed wavelength conversion is used to fold certain remote wavelengths onto the local ones. This results in an interesting design where the local/remote allocation of bandwidth is dynamically controlled temporally by the stations from the edge of the network. Full connectivity can be maintained with only half the total number of station receivers and the capacity can scale linearly with the number of LONs, as in conventional hierarchies. The price to pay for this simplification however, is that capacity is lost through the wavelength folding process. New media access protocols are required to prevent conflicts in this case. The capacity and delay performance of the system is investigated for four proposed media access control protocols.
On dynamically establishing and terminating isochronous message streams in WDM star‐based lightwave networks
Authors: Wang Bin , Hou Jennifer C. , Han Ching‐Chih
Published: December 2024

Complement to our prior work in [21], we address in this paper the problem of dynamically establishing/terminating real‐time message streams in response to call setup/clear requests in single‐hop star‐coupled WDM optical networks.

We consider a network architecture in which N stations are connected to a star coupler with W data channels (W≤N) and one control channel. Each of the W data channels is slotted and shared by the N stations by means of time division multiplexing. The control channel is used for stations to coordinate the call establishment and termination operations. We propose a distributed, dynamic slot allocation scheme to allocate/de‐allocate time slots on the W data channels to message streams, with the objective of meeting message deadlines.

To facilitate slot assignment, the proposed scheme first decomposes each message stream into a set of message sub‐streams, and groups the time slots on each wavelength channel into sub‐channels. In response to a call setup request, the proposed scheme then allocates one or more empty sub‐channels available over the W data channels to a message stream to fulfill its temporal requirement, subject to the source/destination constraints and that the temporal guarantees to existing message streams should not be violated. On the other hand, in response to a call clear request, the proposed scheme releases the slots allocated to the terminated message stream, and merges, if appropriate, empty sub‐channels to facilitate future message stream establishment. We formally prove the properties, and the correctness of, the proposed dynamic slot allocation scheme.
DiffServ‐Aware Multicasting
Authors: Yang Baijian , Mohapatra Prasant
Published: December 2024

Advances in the areas of QoS and IP multicasting have necessitated the need of integration of these two important features of Internet. Differentiated services (DiffServ) has been proposed as a scalable Solution for supporting QoS in the Internet. Coexistence of multicasting and DiffServ is promising since the DiffServ model can provide a scalable framework and may reduce the computational complexity to locate a QoS‐satisfied multicast tree. In this paper, we have first identify the problems of provisioning multicasting in DiffServ domains. Next, we have proposed an efficient DiffServ‐Aware Multicasting (DAM) scheme which has three novel features: weighted traffic conditioning (WTC), receiver‐initiated marking (RIM) scheme, and Heterogeneous DSCP Headers encapsulation (HDE). The proposed technique solves many problems with the integration of DiffServ and multicasting while accommodating heterogeneous QoS requirements. The framework is scalable, flexible, and feasible. Moreover, existing QoS techniques can be incorporated into this framework. Performance evaluation through analysis and simulations demonstrate conformance of the QoS requirements and the potential benefits of DAM.
ETERCA: an End‐to‐End Rate Control Algorithm for packet switching networks
Authors: Mascolo S. , Grieco L.A. , Di Sciascio E.
Published: December 2024

This paper presents an end‐to‐end rate control algorithm for packet switching networks that is executed at the traffic entry nodes. The controller estimates both the bottleneck queue length and available bandwidth to compute the input rate. The aim of the algorithm is to preserve all advantages of the end‐to‐end principle without incurring in reduced performances typical of algorithms that do not use explicit feedback.

The proposed End‐to‐End Rate Control Algorithm (ETERCA) is implemented in the context of ATM networks and compared w.r.t. the Explicit Rate Indication Control Algorithm (ERICA) over single bottleneck scenarios and GFC‐2 test bed. Simulation results clearly indicate that ETERCA ensures network stability, full utilization and fairness in bandwidth allocation also in the presence of networks with large bandwidth‐delay product.
An implementation‐based comparison of Measurement‐Based Admission Control algorithms
Authors: Moore Andrew W.
Published: December 2024

In this paper we present an implementation‐based comparison of Measurement‐based Admission Control algorithms. Through the use of a special purpose environment, a performance and behaviour comparison is made. The results of this paper illustrate the independence of traffic from admission control behaviour in the homogeneous traffic environment. While illustrating the impact the admission decision will make upon heterogenous traffic systems. These results highlight the importance of estimators being robust to statistical variation in measurements and offering calibrated controls. While based upon a comparison of measurement‐based admission control algorithms — these conclusions are applicable to any application of measurement‐based estimation.