bluuebunny/crossref_metadata_2025 huggingface dataset:
TRABZONLU TAYYİB-ZÂDE HÂFIZ MEHMED ZÜHDÎ’NİN II. ABDÜLHAMİD’E YAZDIĞI TEBRİKNAME: KASÎDE-İ HAMÎDİYYE
Authors: Karasu Büşra
Published: December 2024

Klasik Türk edebiyatı metinleri, ait oldukları dönemin edebî atmosferini yansıtmalarının yanı sıra, zengin içerikleriyle tarihî dönem ve hadiseler hakkında da bilgi içeren birer vesika niteliğindedirler. Bu noktada bazı türler öne çıkmaktadır. Türk edebiyatında 15 ilâ 20. yüzyıllar arasında pek çok şair tarafından yazılmış olan tebriknameler de bunlardandır. Çeşitli vesilelerle kaleme alınmış olan bu tür eserlerden cülus-terfi-makam amacıyla yazılanları tarihî olayların doğrudan edebî metinlere dâhil edilmesi suretiyle oluşturulmuşlardır. Manzum veya mensur olarak yazılabilen bu metinlerde yazar, tebriknamenin telifine neden olan olayı metninin temeline oturtarak muhatabını över, ona dua eder, iyi dileklerini iletir ve bazen de kendi isteklerini dile getirir. Çalışmamızın konusu olan Kasîde-i Hamîdiyye de bu tür bir eser olarak karşımıza çıkmaktadır.
Metin, Trabzon’un önemli şahsiyetlerinden biri olan Trabzonlu Tayyib-zâde Hâfız Mehmed Zühdî tarafından Sultan II. Abdülhamid’in tahta çıkışının 25. yıldönümünde, bu yıla tekabül eden 1318-1316/1900 yılında yazılmıştır. Müellif, bu bilgiyi eserin giriş bölümünde belirtmiştir. Şair, tebriknamede Sultan II. Abdülhamid’i övmüş, onun döneminde yapılan yeniliklerden bahsetmiş, kendisine dua etmiş ayrıca memuriyetten azliyle alakalı olan mağduriyetini de dile getirmiştir. Kasîde-i Hamîdiyye’de bu özelliklerin yanı sıra Tayyib-zâde Hafız Mehmed Zühdî’nin şahsî hayatı hakkında da bilgiler yer almıştır.
Çalışmamızda öncelikle Kasîde-i Hamîdiyye’nin şairi Trabzonlu Tayyib-zâde Hâfız Mehmed Zühdî hakkında bilgi verilmiş, ardından metin bir tebrikname örneği olarak incelenmiş, sonrasında Kasîde-i Hamîdiyye’nin çeviri yazısı dil içi çeviriyle birlikte verilerek makaleye metnin tıpkıbasımı eklenmiştir.
TURGUT UYAR’IN “TEL CAMBAZI ŞİİRLERİ”NDE DENGE ARAYIŞI
Authors: Can Muhammet
Published: December 2024

Turgut Uyar, şiir hayatının ilk döneminde yayımladığı Arz-ı Hal (1949) ve Türkiyem (1952) adlı kitaplarında sade ve anlam odaklı bir dille Anadolu sevgisi, yoksulluk, gurbet, doğa ve yalnızlık temalarını işlerken, sonraki yıllarda daha öyküsel ve örtük bir anlatımı benimsemiş ve ağırlıklı olarak kent yaşamından bunalan bireyin doğaya duyduğu özlemi ve kaçış arzusunu yansıtmıştır. 1953-1959 yılları arasında çeşitli dergilerde yayımlanan şiirlerden oluşan Dünyanın En Güzel Arabistanı adlı kitabı bu değişimin en belirgin örneklerini sunmaktadır. Her biri 1954 yılında yazılarak ikisi bu kitaba dâhil edilmiş olan tel cambazı şiirleri şairin poetik anlayışındaki değişimi göstermesi ve semantik düzeyde vurgulaması bakımından önemlidir. “Tel Cambazının Rüzgârsız Aşklara Vardığını Anlatır Şiirdir”, “Tel Cambazının Kendi Başına Söylediği Şiirdir”, “Tel Cambazının Tel Üstündeki Durumunu Anlatır Şiirdir” ve “Tel Cambazının Telden Düşerken Söylediği Şiirdir” başlıklarını taşıyan bu metinler, bireyin modern dünyada yaşadığı varoluşsal mücadeleleri, içsel çatışmaları ve toplumla olan ilişkilerini sembolize eder. Denge arayışındaki bireyi temsil eden tel cambazı imgesiyle bireyin hem kendisiyle hem de toplumla olan karmaşık ilişkileri derinlemesine ele alınır. Uyar’ın şiir anlayışına ışık tutan bu şiirlerde tel cambazının tel üzerinde durma ve düşme riski, dünyaya atılarak var olan bireyin yaşamda denge arayışı ile özünü bulma mücadelesini temsil eder. Böylelikle Uyar, tel cambazını, bireyin özgün varoluşunu inşa etmeye çalışırken yaşadığı dengesizlikleri, kaygıları ve yenilenme gereksinimini anlatmak için kullanır. Bu figür, bireyin iç dünyasındaki çatışmaları, kendini topluma karşı savunma güdüsünü ve sürekli yenilenme arzusunu yansıtır. Şair, tel cambazı imgesi üzerinden hem bireyin hem de sanatçının sürekli bir yenilenme ve kendini yeniden icat etme gereksinimini vurgular. Bu bağlamda, Uyar’ın tel cambazı şiirleri, bir yandan modern bireyin varoluşsal sancılarını ve toplumdan ayrışarak kendi yolunu bulma çabasını simgelerken bir yandan da şairin ustalıktan kaçınan, eskimeme ve tazelenmeye dayalı şiir ilkesini vurgulayan etkileyici bir anlatı sunar. Bu şiirler, şairin şiir anlayışındaki değişimi ve bireyin sürekli bir dönüşüm ve yenilenme ihtiyacını güçlü bir şiirsel anlatımla aktarmaktadır.
İKİDİLLİLERDE SESBİLİMSEL İŞLEMLEME VE DİL SİNİR AĞLARI
Authors: Şıhanlıoğlu Ömer
Published: December 2024

Nörogörüntüleme teknikleri ve analitik yöntemlerdeki ilerlemeler, ikidilliliğin insanlarda bilişsel ve beyin sistemleri üzerindeki etkisini araştıran çalışmaların çoğalmasını sağlamıştır. Çağımızda yüzlerce çalışma, dil sisteminin bileşenlerinin beyindeki işlemlenişine değinse de dilin ve konuşmanın sinirsel temelinin tanımlanmasına ilişkin açıklamalar giderek güncellenmekte ve hızla artmaktadır. İnsan sesinin üretimi ve algılanması sürecinde, dil bileşenlerinin beyinin salt bir merkezinde aktivasyon gösterdiği düşüncesi doğru değildir. Beyinde korteksaltı nöroanatomik bölgeler olarak bilenen ve konuşma eyleminin algılanması ve üretiminden sorumlu olan bölgeler birbirilerine ön (ventral) ve arka (dorsal) kortikal yolaklarla bağlı olup beynin her iki yarıküresinde de sesbilimsel işlemleme başta olmak üzre önemli görevler üstelenmektedirler. Bu bağlamda dilin bileşenlerinin işlemlemesi çerçevesinde, görevlerin yerine getirilmesinde kombinatorik bir işleyiş olduğu söylenebilir. Bu kombinatorik işleyiş beynin belirli bir yerinde sabit olmayıp bilateral ve sola yanallaşmış bir şekilde gerçekleşmektedir. Tekdilli ve ikidilli bireylerde sesbilimsel bileşene ilişkin işlemleme, sinirdilbilimi alanında öne çıkan bir konudur. Uzun süredir, yetişkinlikte dil işlemeyi destekleyen karmaşık dil ağının, olgunlaşma ve dile maruz kalmanın geçici olarak uzun süreli bir etkileşimin sonucu olduğu varsayılmıştır. Fonksiyonel sol yanallaşma ve frontal yapıların artan katılımı, dil-sinir etkileşiminin normal gelişimsel seyri olarak kabul edilmektedir. Beyinde sesbilimsel bileşene ilişkin işlemleme sürecinin tekdilli ve ikidilli bireylerde nasıl gerçekleştiğini ele alan çalışmaların sayesinde, sesbilimsel bileşenin dil sisteminin beyinde en erken işlemlenen bileşen olduğu artık bilinmektedir. Bu bileşen tekdilli ve ikidilli işlemleme sürecinde aynı adımları izlese de bireysel açıdan beyin ağlarının gelişiminde farklılık yarattığı yadsınamaz. Bu çalışmayla konuşmanın algılanması ve üretimi, konu kapsamında alanyazınında yer alan araştırmaların verilerine dayanarak açıklanmaya çalışılmış ve ikidillilerin sesbilimsel işlemlemesinin nöral temelleri açıklanmıştır. Bu çalışma, sesbilimsel algının EEG ve fonksiyonel manyetik rezonans görüntüleme çalışmalarına odaklanarak, ikidillilerde sesbilimsel işlemlemenin kortikal temelini açıklamayı amaçlamaktadır. Sonuçlar, uyaran özelliklerine, görev taleplerine ve katılımcıların ikinci dil sesleriyle ilgili önceki deneyimlerine bağlı olarak çalışmalar arasında farklılığın olduğunu gösterse de alanyazın, birinci ve ikinci dildeki sesbilimsel işleme sırasında ön ve arka korteksler dâhilolmak üzere dorsal işitsel-motor gibi beyin bölgelerinin dâhil olduğunu ortaya koymaktadır. Ayrıca ikidillilerin genellikle tekdillilere görece dil yapılarının bileşenlerinde ve beyin alanları arasındaki bağlantı yollarında daha fazla hacim gösterdiği yapılan çalışmalarla ortaya konulmuştur.
ERBAA KARAAĞAÇ VE ÇALKARA KÖYLERİNDE DEVİR MEVLİDİ / MANEVİ KALKAN GELENEĞİ
Authors: Toprak Abdulhamit
Published: December 2024

Geçmişten günümüze, insanlar doğal afetlerle başa çıkabilmek için çeşitli yöntemler geliştirmiştir. Bu yöntemler, özellikle geleneksel ve kırsal yaşam tarzının hâkim olduğu yerlerde belirgin bir şekilde görülmüştür. Tarım ve hayvancılıkla geçimini sağlayan toplumlar, kuraklık, sel ve taşkın gibi doğal felaketlere karşı korunma içgüdüsüyle çeşitli ritüeller ve uygulamalar meydana getirmiştir. Bu bağlamda, yağmurun yağması için gerçekleştirilen “yağmur duası” gibi geleneksel uygulamalar, Türkiye’nin birçok bölgesinde hâlâ yaşamaktadır. Tokat ili Erbaa ilçesindeki Karaağaç ve Çalkara köylerinde icra edilen “Devir Mevlidi” veya “Manevi Kalkan” adı verilen geleneğin işlevi derinlemesine ele alınacaktır. Bu gelenek, yalnızca yağmur yağdırmak amacı taşımamakta; aynı zamanda sel, dolu ve taşkınlardan korunmak için de icra edildiği görülmüştür. Karaağaç ve Çalkara köylerinde, bu geleneğin yaklaşık bir asırdır devam edegeldiği ve köy sakinleri arasında derin bir anlam taşıdığı bilinmektedir. Bu süre zarfında ritüelin biçimi ve amacı, toplumsal ihtiyaçlara ve doğal koşullara göre değişim ve dönüşümler geçirmiştir.
Devir Mevlidi Geleneği, Türk kültür geleneği bakımından köklü bir yere sahip olup geçmişten gelen inanç, âdet, gelenek ve uygulamaların günümüzdeki yansımalarını temsil etmektedir. Bu gelenek yerel toplulukların doğal afetlere karşı geliştirdikleri manevi ve sosyal dayanışmanın bir ifadesi ve sembolüdür. Törenler, sadece dini bir ritüel değil, aynı zamanda sosyal bir etkinlik olarak da ön plana çıkıp toplumsal dayanışmayı güçlendirerek kuşaklar arası bilgi aktarımını sağlamıştır. Böylece, köylerdeki insanlar arasında bir bağ ve toplumsal birliktelik oluşturur. Çalışma, bu ritüellerin salt bir inanç meselesi olmadığını, aynı zamanda kültürel bir mirasın nasıl korunduğunu ve yaşatıldığını da göstermektedir. Bu tür gelenekler, toplumların geçmişle olan bağlarını güçlendirip geleceğe dair umut ve dayanışma duygusu da aşılamaktadır. Ayrıca, Devir Mevlidi Geleneği’nin icra edilmesi sırasında ortaya çıkan sosyal etkileşimler, toplumsal ilişkileri pekiştirmekte ve insanların birbirleriyle olan bağlarını güçlendirmektedir.
Doğal afetlere karşı geliştirilen bu tür manevi uygulamalar, insanları bir araya getiren ve kolektif bir hafıza oluşturan önemli unsurlar olarak karşımıza çıkmaktadır. Karaağaç ve Çalkara köylerindeki Devir Mevlidi Geleneği geçmişin izlerini taşıyan kültürel bir miras olmanın yanı sıra gelecek kuşaklar arasındaki birlik ve dayanışmayı güçlendiren bir işlevi yerine getirmektedir. Bu çalışmada, kültürel mirasın korunmasının ve toplumsal birlikteliğin sağlanmasının önemini ortaya koymanın yanı sıra, özellikle ülkemizde daha önce incelenmemiş ve örneğine rastlanmamış özgün bir gelenek olan Devir Mevlidi/Manevi Kalkan Geleneği hakkında bilgiler verilecektir.
Analyse of Anti-Surge Technology of Rescue Helicopter Turbo-Shaft Engine and Corresponding Maintenance Measures
Authors: Zheng Xiaofeng
Published: December 2024

Surge is a parameter that has an important impact on the performance of aircraft engines, and also the main factor that restricts the performance of engines and affects flight safety. By studying the surge principle of turbine engine and the anti-surge principle of rescue aircraft turbo-shaft engine, the anti-surge measures of each type of engine are understood. To provide some help for the improvement of engine maintenance level in the future, so as to reduce the probability of the rescue aircraft engine surge effectively, further improve the reliability of the engine, and improve the airworthiness of the rescue helicopter.
A*-Based Path Generation Algorithm for Multi-Optimized Fixed-Wing UAVs
Authors: Zhang Zhen , Xiao Jiawei , Zhang Wenwei
Published: December 2024

In recent years, unmanned aerial vehicle (UAV) technology has made remarkable progress in many fields, especially in the path planning of fixed-wing UAVs. In the face of complex task scenarios, fixed UAVs need to consider various scenarios, generate conforms to aircraft performance, and make autonomous decision-making to evade and standby flight routes to meet the needs of load adaptation and performance guarantee. Especially for some specific load unmanned aerial vehicles (UAVs), the flight path planning is in advance before launch, so the ground stage of route planning is the key. This paper puts forward A kind based on A* heuristic search algorithm of the optimum path planning method, through the Alpha - Beta pruning to accelerate the search process, using Douglas-Peucker curve smoking loose to reduce cost, time and space combined with spline interpolation and polynomial fitting rounds of optimization, Finally, the critical routes with the ability to evade, wait and attack are generated. The experimental results show that the algorithm achieves 4.5% optimization in the path length, and the smoothness of the curve is improved by 36.71%. It has the planning ability to hover and wait in the mission area, effectively improving the path generation’s smoothness, effectiveness, and refinement. It also reduces the route length, showing good anti-data noise and long path planning ability.
Parameter Identification Method of PMSM Based on SVPWM Inverter
Authors: Cao Yang , Liu Xin , Cheng Zhaojun , Li Shan , Huang Chao , Yang Zuocheng
Published: December 2024

A parameter identification scheme of permanent magnet synchronous motor(PMSM) is proposed, which is easy to implement in engineering. Firstly, a set of excitation with different frequency, phase and voltage combination is applied to the measured PMSM and the response signal is collected. The stator resistance and the inductance of direct and quadrature axis are obtained by least square curve fitting, then start the motor to the set frequency, suddenly block the output, collect the generation voltage of the PMSM. The algorithm is integrated in the inverter controlled by SVPWM, and the parameters of the controlled motor can be identified without additional equipment, so as to support the implementation of speed sensorless control. The simulation shows that the identification scheme has sufficient precision to meet the need of speed sensorless control, and has guiding and reference significance for practical engineering applications.
Structural Design and Static Analysis of a Climbing Robot for Wind Turbine Blade Inspection
Authors: Huang Shuchen , Yu Gang , Chen Da
Published: December 2024

This study presents the design of a climbing robot system for damage detection on wind turbine blades. The system comprises mechanical and adhesion structures tailored to adapt to the blade’s curved surface. It integrates various hardware components, including a main controller, sensors, servos, air pumps, vacuum suction cups, solenoid valves, and cameras, to enable flexible control of adhesion and locomotion. Kinematic and dynamic analyses are conducted to determine the robot’s range of motion, positions, and minimum adhesion force requirements, ensuring stability and safety. The developed motion control system utilizes algorithms and pressure sensor feedback to achieve stable climbing and reliable adhesion. This study provides a comprehensive and autonomous solution for offshore wind turbine blade inspection.
Analysis and Outlook on the Core Technology of All Terrain Intelligent Pathfinder Robot
Authors: Wang Yong , Ran Dexin , Ming Congcong , Yao Lihong , Liu Yongjun
Published: December 2024

With the continuous development of technology, the application of all terrain intelligent pathfinder robots in various fields is becoming increasingly widespread. This article provides an in-depth analysis of the key technologies of all terrain intelligent pathfinder robots, including environmental perception technology, autonomous navigation technology, power system technology, mechanical structure design technology, etc. It explores the principles, application status, and challenges faced by these technologies, and looks forward to their future development trends, aiming to provide useful references for research and development in this field.
Attribute Reduction of Event Structure Models in Automation Systems Based on Incomplete Decision Making
Authors: Li Shengnan , Tang Weidong , Liu Meiling
Published: December 2024

In the actual automation system, the big data information encountered is likely to be incomplete, and the use of classical event structure rough set model to partition data objects will be limited. In order to deal with incomplete information systems, it is necessary to build a new rough set model of extended event structure. In this paper, an extended event structure rough set model is proposed based on the asymmetric constraint similarity relation. An attribute reduction algorithm of the event structure model is obtained by using the asymmetric constraint relation, restricted tolerance relation, asymmetric similarity relation and discernible matrix. Finally, an example of an automation system is given to prove the validity and rationality of the proposed algorithm in the attribute reduction of the event structure model.
Research and Application of the Whole Process Parametric Design of Radial Gate
Authors: Zhang Xuecai , Zhang Fufu , Xie Tengfei , Liu Minyu
Published: December 2024

Aiming at the problems of unstable design quality, long design cycle, heavy repetitive workload and low application of digital design in the design process of radial gate at the present stage, based on the three-dimensional parametric design concept of the whole process, according to the design specification and design manual, a three-dimensional parametric design method for the whole process of radial gate is proposed, and a complete and efficient digital design process of radial gate is developed, that is to say, the three-dimensional parametric geometric modeling, three-dimensional structural analysis and engineering drawing of the radial gate structure are realized by writing a program on the same platform. The adoption of new methods and new processes makes the structure of the radial gate transition from plane design to space design. The design process is more intuitive and visual, improves the quality and efficiency of the design, reduces the repetitive workload caused by design changes in the design process, and deepens the digital application of the radial gate structure. It lays the foundation for the optimization of the gate structure layout and size, making the overall structure of radial gate more smooth and the bearing state more uniform. At the same time, it lays the foundation for the informatization, intelligence and assembly design of the gate structure.
Implementation of a 64 Bit Vector Multiplier for RISC-V
Authors: Xia Chao , Yang Hang , Gao Bo
Published: December 2024

The article presents a novel 64-bit vector integer/fixed-point multiplier design. This multiplier is in accordance with the RISC-V Vector Extension, which is designated as “RVV 1.0.” The proposed approach for 64-bit signed or unsigned multiplication employs an advanced Radix-4 Booth encoder variant in conjunction with a Wallace tree configuration. This refined Radix-4 Booth encoding method markedly reduces the partial product count and simplifies the multiplication process. Moreover, incorporating the Wallace tree facilitates rapid compression and summation of partial products, significantly enhancing multiplication efficiency. The vector multiplier exhibits low latency and full pipelining, achieving the compression of 35 partial products within just two cycles. The multiplier introduced in this paper is particularly well-suited for demanding computational tasks, including multimedia and digital signal processing applications.
Smart Home Innovation: IOT-Based Lighting Control System Design
Authors: Munthe Christine Cecylia , Febriandirza Arafat
Published: December 2024

This study involves designing a lighting control device that operates via Google Assistant and Adafruit IO using the NodeMCU ESP8266. With the rapid advancements in technology, automated control systems are essential for efficient and quick management of electronic devices. Currently, lighting systems rely heavily on manual push-button switches, and technological devices like relays and NodeMCU ESP8266 are underutilized. This study seeks to address this by creating an automated lighting control tool, with detailed documentation provided from the design phase to the result, which may serve as a reference for future applications.
A Novel Interval-Valued Hesitant Fermatean Fuzzy Multi-Attribute Group Decision-Making Method Based on Consensus
Authors: Niu Xuli , Ma Xiuqin , Qin Hongwu , Ren Dong , Lei Siyue
Published: December 2024

Interval-valued hesitant Fermatean fuzzy sets (IVHFFSs) offer a powerful mathematical tool for addressing decision-making problems full of uncertainty and ambiguity. Despite their potential, multi-attribute group decision-making (MAGDM) methods within this context have not been extensively explored. This paper addresses this gap by introducing a consensus-based MAGDM approach for IVHFFSs. First, we propose an interval-valued hesitant Fermatean fuzzy (IVHFF) distance measure without normalization, which does not generate data redundancy. Next, we propose an objective expert weighting method based on hesitancy and consensus level. Furthermore, combined with the proposed distance measure and expert weighting method, we propose an IVHFF consensus model. Since the consensus model directly adjusts the expert evaluation value through the distance matrix, it effectively improves the efficiency of consensus reaching. Finally, based on the proposed consensus model, we propose a novel MAGDM method under IVHFF environment.
Adaptive Density Peak Clustering Based on Fuzzy Neighborhood
Authors: Wang Meijiao , He Libo , Wu Yunyun , Cao Haoshun , Liu Ling
Published: December 2024

Density peak clustering is a clustering strategy that groups data points based on their density in the datasets, which determines cluster centers by finding density peak points and clustering around these centers. It does not require iterative process, nor does it require the user to input too many parameters, which makes it more efficient and easy to use. However, selecting cluster centers manually by decision graph is a major limitation of the algorithm. In the existing research, automatically generate cluster centers methods were proposed, but it didn’t take the contribution of different distances when calculating the local density. In this paper, fuzzy neighborhood was employed to measure the proximity between data points to automatically identify the cluster centers. We redefine the fuzzy local density and the fuzzy relative distance in density peak clustering based on fuzzy neighborhood, and automatically generate cluster center based on their statistics. Compared to traditional algorithms, this method has not added any additional parameters. To verify the effectiveness of the proposed algorithm, we conducted comparative experiments with existing algorithms.
Evaluation of Technical Support in Software Promotion Effectiveness Based on Causal Machine Learning
Authors: Weng Jiayi , He Zihang , Liu Siqi , Zhang Lei
Published: December 2024

Precise and effective software promotion strategies are crucial for software companies. By introducing causal machine learning techniques to analyze software promotion data provided by software companies, we aim to reveal the extent to which the promotion strategy of technical support services affects sales effectiveness and explore the heterogeneity of this effectiveness across different customer groups. The results show that the introduction of technical support can generate a 60% increase in sales revenue for software companies. By comparing multiple causal machine learning models, Linear DML emerge as the optimal model, which is used to further explore customer subgroups with high causal effects and to interpret the model with SHapley Additive exPlanations (SHAP). We find that features such as larger company size, more personal computers, fewer employees, and less IT spending are customer features that are more responsive to technical support services. The findings are expected to provide software companies with a theoretical basis for developing more effective promotion strategies and identifying promotional customer groups.
Discovering Innovative Ideas in Social Posts for Sustainable Product Development via Data Mining Approach
Authors: Kao Shu-Chen , Huang Rui-Jie
Published: December 2024

With the increasing awareness of environmental protection, the demand for sustainable product design has been an important issue for the past few decades. This research aims to propose an idea development model by leveraging advanced NLP, machine learning, and deep learning techniques. It collects 3,016 posts from sustainability-related social communities to compare the identification performance of seven classifiers. Through model verification using 75–25% criteria, the experimental results reveal that Word2Vec accompanied with SVM performs the best (F1 = 0.72, AUC = 0.75). Based on 1704 creative posts, LDA is adopted to categorize four topics containing 243, 285, 412 and 764 articles, respectively. By employing Apriori and association rules, the discovered knowledge containing 30, 5110, 42 and 103 rules for each topic are extracted as a basis for idea generation conducive to sustainable products development. Discussion and implication are addressed.
A Study on ERP Autonomous Experiment Assisted by Digital Intelligence Fusion
Authors: Huang Weibo , He Ziting , Xie Xiaopeng , Chen Haolin
Published: December 2024

This study applied Digital Intelligence Fusion to explore an autonomous experimental model for ERP learning systems to enhance the practical experience for the undergraduates. Using AI’s ability to create virtual environments, the proposed model simulated real-life scenarios to provide students with an immersive educational experience. The study employed big data analysis to build an intelligent ERP system through data warehousing and data mining techniques to improve data quality and automatically correct inaccuracies. The model performs well in capturing contextual features and generating responses that are very similar to the actual responses. This novel approach demonstrated a unique contribution to this field, enhancing ERP education through AI-driven immersive learning and big data analytics.
A Feature Extraction Method for Distributed Photovoltaic Ledger Information Based on Multi-Source Heterogeneous Data Fusion
Authors: Li Zhihai , Li Baoju , Yi Haoyong , Fu Jiyue , Tang Dongjun , Zhuang Guanqun
Published: December 2024

Solar photovoltaic power generation has become one of the most important means of securing the world’s energy supply strategy, drastically reducing emissions and ensuring sustainable development by taking advantage of the cleanliness and safety of the energy source. The development of photovoltaic (PV) power stations in pieces and the formation of PV power station clusters have become a new issue. Most traditional methods use ledger data from a single source for feature extraction, and it is difficult to achieve complete extraction of their features. In this paper, a distributed PV plant cluster ledger feature extraction method based on multi-source heterogeneous data fusion is proposed to achieve accurate prediction of PV power cluster power. Firstly, the information integration equipment is used to aggregate the power generation status information of the PV power plant cluster, including natural environment information, module parameters, battery energy storage, shadow coverage, etc. to achieve the collection of heterogeneous data from multiple sources. Secondly, the energy conversion calculation is performed based on the above information, and the unit time failure rate information is integrated to optimize the energy conversion through the failure rate calculation model. Finally, the LSTM neural network is used to process the above information, and the neural network is used to predict the PV power to optimize the operation of the PV power system. The comparison with the linear regression model proves that the model proposed in this paper has a higher prediction effect.
Comparative Analysis of Radial Basis Functions and Cubic Splines for Data Imputation
Authors: Kitchainukoon Wisut , Sangsuwan Amornrat , Pongchalee Pornthip , Chanthawara Krittidej
Published: December 2024

This study evaluates the effectiveness of Radial Basis Function (RBF) approaches, specifically Gaussian and Multiquadric RBFs, compared to Cubic and Adaptive Splines for data imputation in time-series datasets. Three datasets—multi-seasonal, non-stationary, and spikes and drops—were used, with varying data corruption levels to simulate real-world scenarios. Imputation performance was assessed using Root Mean Square Error (RMSE). The results indicate that spline-based methods, particularly Cubic and Adaptive Splines, consistently deliver lower RMSE values, showcasing superior robustness to data variability and high corruption levels compared to RBF methods. This comparative analysis offers insights into selecting appropriate techniques for effective data imputation in time-series analysis.
LSTM Drug Demand Forecasting with Adjustment Strategies as a Preliminary Step Toward Optimizing Hospital Drug Inventory Management
Authors: Laomala Janejira , Tantiwanichanon Papon , Jaruteekampron Natchanon , Kaennakham Sayan
Published: December 2024

Pharmaceutical inventory management plays a critical role in hospital operations, directly impacting both financial efficiency and patient care. Reliable forecasting of drug demand is essential for optimizing inventory management and minimizing costs. This study presents a preliminary step toward developing a comprehensive solution by leveraging Long Short-Term Memory (LSTM) networks for time series forecasting of drug demand across three types of datasets: non-stationary, intermittent, and multi-seasonal. In addition to the baseline LSTM predictions, five post-prediction strategies are introduced to enhance the accuracy of forecasts, including directional (DiL) and undirectional (UDiL) double prediction methods, as well as self-adaptation techniques such as Simple Residual Adjustment (SRA), Recursive Residual Model (RRM), and Time Adaptive Demand Forecasting Adjustment (TADFA). The results indicate significant improvements in prediction quality, particularly when employing DiL and TADFA. Furthermore, the predicted values were used to simulate the inventory management costs under a model where both overprediction and underprediction are penalized equally. This work highlights the importance of accurate forecasting and demonstrates the potential for AI-driven solutions to improve pharmaceutical inventory management in hospitals.
A Mobile Robot Arm for Providing Daily Support to Cantonese Speaking Elderly Persons
Authors: Lau Chi-Yat , Yuen Man-Ching , Yung Chi-Wai , Wong Tsz-Fung , Chan Ka-Keung , Chow Check-Hang , Ho Tsz-Him , Wong Hong-San
Published: December 2024

Many elderly need help to perform tasks around their home, such as grabbing their clothes and care takers can provide an assistant. The objective of this project is to utilize human language for controlling robot arm operations. Additionally, the robot will engage in interactions with humans through a large language model (LLM), enhancing its responses to be more human-like. Moreover, the robot arm will have the capability to discern various syntaxes in human language, allowing it to respond to commands in a manner akin to human speech. The project focuses on the robot arm’s ability to respond to Cantonese (廣東話/粵語) input and execute basic robotic movements based on Cantonese commands. This prototype can help to develop a robot arm with more functions based on Cantonese commands.
Research on the Virtual Reality Simulation Framework for Crane Cloud Mobile Based on Digital Twins
Authors: Su Wensheng , Wang Xinren , Xu Jia
Published: December 2024

Digital twin technology has gradually gained widespread application in mechanical engineering fields such as crane operation and maintenance. We propose a digital twin-based crane cloud mobile virtual reality (VR) framework. This framework combines cloud rendering, digital twin technology, and panoramic stereo imaging technology to achieve high-quality interactive 3D crane simulation scenarios stereo display on smartphones. In the context of digital twins, enhancing the accuracy, real-time performance, and resource utilization efficiency of crane operation and maintenance scene simulations has become a crucial research issue. The study optimizes the digital twin model through a multi-scale feature extraction algorithm (PMFEA) and a pyramid convolution and grouped channel attention mechanism. Experimental results show that the improved PMFEA algorithm exhibits outstanding performance in multiple practical application scenarios. In static crane recognition scenarios, PMFEA achieves an accuracy of 0.93, significantly outperforming ResNet50’s 0.90 and VGG16’s 0.87. In dynamic crane management, PMFEA leads with an accuracy of 0.89, ahead of MobileNetV2’s 0.84 and InceptionV3’s 0.85. Additionally, PMFEA achieves an accuracy of 0.85 in crane driving simulation scenarios and 0.90 in smart grid management scenarios, both significantly outperforming other comparative algorithms. Notably, in equipment diagnosis, PMFEA stands out with the highest accuracy of 0.94, significantly ahead of other algorithms, demonstrating its immense potential in high-precision demanding fields. The results indicate that this framework can use digital twin technology to stereoscopically display high-precision and high-quality interactive crane VR 3D simulation scenarios on smartphone web browsers at low computational cost. Furthermore, it provides users with an excellent immersive experience through VR glasses.
An Online Optimization System for Weight Detection Parameters
Authors: Feng Wenbin , Yang Bin , Dong Fanghui , Wen Wu , Liu Minchang , Kuang Peng , Liu Yang , Liu Yuan , Wan Ming , Bao Tingjie , Huang Ju , Ma Yaping , Zhang Rongya
Published: December 2024

Cigarette weight detection is crucial for the quality of cigarette production, requiring regular calibration of key parameters to maintain accurate weight control. Traditional methods for adjusting these parameters are often time-consuming, wasteful, and fail to provide timely updates, which can affect the accuracy of real-time weight assessment. This study introduces an innovative online optimization system designed to refine weight detection parameters. The system incorporates an automated sampling process and utilizes the XGBoost regression model for prediction. These features streamline the optimization, improving both automation and the accuracy of online weight measurements. Results show that the system decreases the time needed for parameter adjustment by 65.72% and reduces cigarette consumption by 83.33%. Moreover, it increases the compliance rate with weight standards during quality checks by 41%. Thus, this advanced diagnostic and optimization approach significantly enhances the precision of real-time weight monitoring, contributing to higher product quality and more efficient manufacturing.
Optimization on Cable’s Initial Tension of Extradosed Cable-Stayed Bridge with Gradient Projection Method
Authors: Wang Kejun , Zhang Boping , Zhao Guang
Published: December 2024

In order to determine the cable force of the cable-stayed bridge of the low tower cable-stayed bridge, the optimization model of the cable force of the cable-stayed bridge of the low tower was established on the basis of the influence matrix of the cable force of the cable-stayed bridge, and the solution method of the initial tension optimization was established by using the gradient projection method. Combined with the Yinhu Bridge example, the CBOP program based on the optimization model in this paper is used to optimize the initial tension of the cable-stayed cable, and the calculated results are compared with the original design of the bridge cable force. The results show that for the low-tower cable-stayed bridge, the initial tension of the cable optimized by the gradient projection method will make the bending moment diagram of the whole beam change more smoothly, and the structural force will be more reasonable, and the optimization rate of the maximum negative bending moment will reach 49% and the maximum positive bending moment will reach 14% when the initial tension increases by 6%. On the whole, the optimization effect of this method is good, and it can be applied to the design practice of existing bridges.
ISLAMIC COUNSELING (BEHAVIOUR THEORY) IN DEALING WITH TRUANT BEHAVIOUR
Authors: Hafsoh Fadilla Fariza , Subhi Muhamad Rifa'i
Published: December 2024

Truancy behavior in students is a problem that often occurs in schools, with many factors behind it. The urgency of this research is to discuss ideal lessons, aspects of truancy, the impact of truancy. Uniquely, this research is based on one of the theories in psychology, namely the behavior theory coined by Burrhus Federick Skinner. Behaviorism theory is also applied to group guidance and individual counseling. The research method used in this research is qualitative, field research type with data collection techniques using interviews, the analysis method used is descriptive analytical.  The results after interviews with BK teachers at SMP Darul Hikam skipping class have various causes both internal and external. Prevention of skipping class by creating a pleasant learning atmosphere such as interspersed with games. After several times of group guidance and individual counseling by applying behavior theory to children who skipped class, the child began to leave his habit of skipping class. According to the counseling teacher, the counseling above will be more effective coupled with other theories such as humanistic, CBT and REBT.
ANALISIS KEMAMPUAN BERPIKIR KREATIF SISWA MELALUI PEMBELAJARAN REALISTIC MATHEMATICS EDUCATION PADA MATERI STATISTIKA
Authors: Yusuf Abdullah Subhih , Aini Afifah Nur
Published: December 2024

Berpikir kreatif penting bagi siswa untuk beradaptasi, yang ditandai dengan kemampuan siswa untuk memberikan ide-ide baru yang unik dan berbeda. Kriteria berpikir kreatif yaitu kemampuan menghasilkan jawaban yang relevan (fluency), jawaban yang beragam (flexibility), jawaban yang unik dan berbeda (originality), dan menjelaskan jawaban yang diperoleh (elaborasi). Kemampuan berpikir kreatif dapat ditingkatkan melalui pembelajaran Realistic Mathematics Education (RME) yang menggunakan masalah kontekstual agar siswa mampu mengkonstruksi pengetahuan matematika. Penelitian ini merupakan penelitian quasi eksperimen dengan subyek kelas VIII D sebagai kelas eksperimen dan kelas VIII C sebagai kelas kontrol di MTs Al-Misri. Kemampuan berpikir kreatif diukur melalui post-test. Hasil uji-t menunjukkan ada perbedaan kemampuan berpikir kreatif signifikan pada kelas eksperimen dan kelas kontrol, dengan rerata kelas kontrol 38,59 sedangkan kelas eksperimen 65,14. Subjek di kelas eksperimen memenuhi kriteria berpikir kreatif yang lebih banyak dibandingkan subjek di kelas kontrol.
On the Application of the Rayleigh-Ritz Method to a Projected Hamiltonian
Authors: Fernández Francisco M.
Published: December 2024

We apply the well known Rayleigh-Ritz method (RRM) to the projection of a Hamiltonian operator chosen recently for the extension of the variational principle to ensemble states. By means of a toy model we show that the RRM eigenvalues approach to those of the projected Hamiltonian from below in most cases but a few ones. We also discuss the effect of an energy shift and the projection of the identity operator.
Certain biological and physical parameters of vacuum packaged fresh pork sirloin roasts
Authors:   , Hoss Bradley Jay
Published: December 2024

"The preservation of meat has always presented a complex problem to man. The first means of preservation was probably rubbing salt onto the meat surface. This dried out the surface enough and produced a high enough salt concentration to inhibit the growth of spoilage organisms. It is believed that the salt used at first contained many impurities such as salt peter (sodium nitrate), which were also inhibitory to spoilage organisms. The meat would last longer than fresh unprotected meat, but the high salt concentration produced a rather unpalatable finished product. New means of preservation were provided with an increase in technology. A new method of preservation was developed by Nicholas Appert in the late 1700's. He found that foods heated in sealed containers lasted longer than foods that were unprotected as long as the container was not opened. This finding developed into the canning industry. Refrigeration was the most important technological advancement in meat preservation since canning. The reduction in temperature down to 0-5 [degrees] C decreased the rate of growth of spoilage organisms. Refrigeration greatly expanded the length of time meat could be stored. Meat could be transported further with increased shelf-life and storage time at home was increased. With the advent of refrigeration in the retail store, meat could be individually packaged and self-service meat cases evolved. The retail shelf-life was still limited to several days because the meat packaging material was oxygen permeable and provided an environment for bacterial growth. New types of packaging systems have been introduced that replace or remove oxygen and thus inhibit spoilage bacterial growth. Different gasses have been used to replace oxyqen to extend the storage life of meat. Carbon dioxide has been used successfully to replace oxygen and has caused significant increases in storage time (Baran et al., 1970; Huffman, 1974). Huffman, (1974) also reported using nitrogen to replace oxygen, but found no decrease in bacterial counts. In addition, Pierson et al., 1970, reported finding no difference between vacuum packaging and nitrogen gas packaging. Vacuum packaging excludes oxygen from the meat package thereby inhibiting aerobic spoilage organisms. Oxygen impermeable films have been developed to facilitate vacuum packaging. The use of vacuum packaging has become very popular in the distribution of beef wholesale cuts. Vacuum packaging of pork has not been utilized much in industry to date. Very little is known about the effects of vacuum packaging on pork. The objectives of this research were to determine: 1. The impact of (a) chill method and storage temperature and (b) meat quality on weight losses, tenderness, and oxygen saturation of the purge in vacuum packaged fresh boneless pork sirloin roasts. 2. The impact of leakers on (a) the subsequent microbial profile population and (b) fresh meat color after three days of retail display of vacuum packaged fresh boneless pork sirloin roasts."--Introduction.
Assessing the Influence of Energy Consumption and Islamic Financial Development on Indonesia’s Economy with Dynamic ARDL Simulations Approach
Authors: Farabi Ahmad , Salim Zamroni , Handayani Dini Oktarina Dwi , Setianto Rahmat Heru
Published: December 2024

The purpose of this study is to evaluate the contribution of energy consumption and Islamic financial development to economic growth in the case of Indonesia. The macroeconomy variable namely gross fixed capital formation also involved in the model as control variables considering its significant contribution to economic growth continuously. The monthly data of economic growth, as dependent variable, represented by industrial price indicator. As independent variables, the data of energy consumption denoted by the amount of primary energy consumption while the data of financial development reflected by Islamic Banking financing consists of the amount of mudharabah and musyarakah financing. Moreover, the variable gross capital formation is chosen as the control variables with consideration that the variable constantly has significance contribution to economic growth and cannot be ignored. An interpolation technique performed for variable with annual range and to equalize all data to be monthly. The method of ARDL and ECM chosen as the suitable method to reach the objectives. The result concludes that energy consumption and Islamic financial development has positive contribution to Indonesia’s economic growth. The cointegration exist which means there is a long-run relationship between the variables. Energy consumption and the growth of Islamic finance, as illustrated by musyarakah financing, have a long-term impact on Indonesia's economic growth. The error correction mechanism also found which reflects that there is a mechanism of adjustment when shock happen. This paper presents the latest empirical evidence of the contribution of energy consumption and Islamic financial development to economic growth in the case of Indonesia. The variable of Islamic financial development is breakdown become mudharabah and musyarakah to get deeper analysis. In addition, the involving of capital formation as control variables never been done by previous studies. To the best author’s knowledge, the study that discuss this issue is limited especially in the case of Indonesia which use disaggregate Islamic financial development as well as involving capital formation as the control variables for the case study of Indonesia.
Carbon Emission Control Mechanism: Analysing the Role of Growth of the Transportation and Warehousing Sector, GDP, and Renewable Energy Consumption
Authors: Wahyudi Heru , Wiryawan Driya , Leny Sandra Mei , Said Usamah Bin , Abdurahman Abdurahman
Published: December 2024

This study explores the relationship between Growth of the Transportation and Warehousing Sector, Gross Domestic Product (GDP), and Renewable Energy Consumption on carbon emissions in Indonesia. This study is motivated by the global challenge of reducing carbon emissions to address climate change, especially in developing countries that face a dilemma between economic development and environmental sustainability. Using the Fully Modified Ordinary Least Squares (FMOLS) approach with time series data from 2011-2023, the results show that Growth of the Transportation and Warehousing Sector has a significant positive effect on carbon emissions, reflecting the increase in fossil energy consumption caused by increased logistics and distribution activities. Gross Domestic Product (GDP) was also found to be significantly positively related to carbon emissions, supporting the Environmental Kuznets Curve (EKC) hypothesis, which states that in the early stages of economic growth, emissions tend to increase along with higher fossil energy use. In contrast, Renewable Energy Consumption shows a negative and significant effect on carbon emissions, indicating that the transition towards clean energy sources can substantially reduce carbon emissions. This research confirms the need for low-carbon technology adoption, accelerated investment in renewable energy, and strengthened environmental policies to reduce the impact of carbon emissions. The findings provide relevant empirical insights for policymakers in designing climate change mitigation strategies and a sustainable energy transition, in line with Indonesia's carbon emission reduction target of 29% by 2030 and achievement of net zero emissions by 2060.
Perancangan Website Bunny Vape Store untuk Meningkatkan Penjualan dengan Metode Website Design Method
Authors: Santoso Sindu Sugiarto , Nataliani Yessica
Published: December 2024

Penelitian ini bertujuan untuk merancang website Bunny Vape Store untuk meningkatkan penjualan. Website direncanakan memberikan informasi seputar Bunny Vape Store, produk dan jasa yang disediakan, konsultasi melalui website secara online, penjualan online, dan testimoni dari pelanggan. Perancangan website dilakukan menggunakan metode Website Design Method (WSDM), perancangan sistem dengan UML (Unified Model Language), bahasa pemrograman PHP, dan database MySQL. Metode pengumpulan data dilakukan menggunakan wawancara. Hasil pengujian implementasi website Bunny Vape Store adalah adanya kesesuaian antara website Bunny Vape Store dengan keinginan dan kebutuhan responden, Responden rata-rata menyatakan akan sering menggunakan website ini. Selain itu responden juga menyatakan website ini tiidak terlalu rumit dan dapat digunakan dengan mudah. Bantuan teknis dirasakan tidak diperlukan oleh responden dalam penggunaan website, dan adanya integrasi fungsi yang baik serta konsisten dalam website. Rata-rata responden menyatakan bahwa belajar menggunakan website ini cepat dan tidak terjadi kecanggungan dalam penggunaan, sehingga ada rasa percaya diri dari penggunanya untuk mengoperasikan website.