bluuebunny/crossref_metadata_2025 huggingface dataset:
On-chip two-dimensional material-based waveguide-integrated photodetectors
Authors: He Xiao , Wang Yilun , Peng Zhuiri , Li Zheng , Yu Xiangxiang , Xu Langlang , Huang Xinyu , Meng Xiaohan , Shi Wenhao , Gao Xiaoyan , Zhao Jihao , Xu Jianbin , Tong Lei , Zhang Xinliang , Miao Xiangshui , Ye Lei
Published: January 2024

In optical systems for communication, sensing, and imaging, integrating optoelectronic and electronic components on-chip to develop optoelectronic applications has become the focus of future research.
Stepwise post-synthetic linker installation in rare-earth metal–organic frameworks
Authors: Hu Yuchen , Khoo Rebecca Shu Hui , Pang Aiying , Yang Sizhuo , Fiankor Christian , Zhang Xu , Zhang Jian
Published: January 2024

Secondary linkers with different length are installed in a stepwise fashion inside rare-earth MOFs consisting of less connected RE6 clusters.
Substantial damage to surface water in the context of environmental crimes
Authors: Rebelo Anabela , Franco Andreia , Quadrado Felisbina , Reis Vanda , Batista Sofia , Garcia Ana Isabel , Ferreira Rodrigo , Quintas António , Marques Albertina M.
Published: January 2024

A multicriteria decision to quantify the water damage caused by suspected illicit acts, such as a release of untreated wastewater, chemicals or other waste disposal. An index to help the decision-making process on environmental crimes.
Untapped potential of scrap brass alloy: a new frontier in the use of brass-based photocathodes for stable and durable photoelectrochemical water splitting
Authors: Leil Rahma , Abodouh Mohamed Mahrous , Javed Nasir , Sreekumar Sneha , Pacheco Haydee , Tarek Nada , O’Carroll Deirdre M. , Allam Nageh K.
Published: January 2024

Photoelectrochemical (PEC) water splitting is a promising way to produce green hydrogen. Finding a stable photocathode is important to the development of (PEC) water splitting. This work aims to use scrap brass alloy as a stable photocathode.
CB[8]- and triarylboron-based supramolecular organic framework for microRNA detection, tumor-targeted drug delivery, and photodynamic therapy
Authors: Nie Xufeng , Yan Sijie , He Jian , Wang Yachuan , Deng Guowei , Zhang Shilu , Chen Hongyu , Liu Jun
Published: January 2024

Supramolecular organic frameworks (SOFs) are widely used for biological detection and drug delivery.
Noncontact Palm Vein ROI Extraction Based on Improved Lightweight HRnet in Complex Backgrounds
Authors: Dai Fen , Wang Ziyang , Zou Xiangqun , Zhang Rongwen , Deng Xiaoling
Published: January 2024

The extraction of ROI (region of interest) was a key step in noncontact palm vein recognition, which was crucial for the subsequent feature extraction and feature matching. A noncontact palm vein ROI extraction algorithm based on the improved HRnet for keypoints localization was proposed for dealing with hand gesture irregularities, translation, scaling, and rotation in complex backgrounds. To reduce the computation time and model size for ultimate deploying in low‐cost embedded systems, this improved HRnet was designed to be lightweight by reconstructing the residual block structure and adopting depth‐separable convolution, which greatly reduced the model size and improved the inference speed of network forward propagation. Next, the palm vein ROI localization and palm vein recognition are processed in self‐built dataset and two public datasets (CASIA and TJU‐PV). The proposed improved HRnet algorithm achieved 97.36% accuracy for keypoints detection on self‐built palm vein dataset and 98.23% and 98.74% accuracy for keypoints detection on two public palm vein datasets (CASIA and TJU‐PV), respectively. The model size was only 0.45 M, and on a CPU with a clock speed of 3 GHz, the average running time of ROI extraction for one image was 0.029 s. Based on the keypoints and corresponding ROI extraction, the equal error rate (EER) of palm vein recognition was 0.000362%, 0.014541%, and 0.005951% and the false nonmatch rate was 0.000001%, 11.034725%, and 4.613714% (false match rate: 0.01%) in the self‐built dataset, TJU‐PV, and CASIA, respectively. The experimental result showed that the proposed algorithm was feasible and effective and provided a reliable experimental basis for the research of palm vein recognition technology.
On differential privacy for federated learning in wireless systems with multiple base stations
Authors: Tavangaran Nima , Chen Mingzhe , Yang Zhaohui , Da Silva José Mairton B. , Poor H. Vincent
Published: January 2024

In this work, we consider a federated learning model in a wireless system with multiple base stations and inter‐cell interference. We apply a differentially private scheme to transmit information from users to their corresponding base station during the learning phase. We show the convergence behavior of the learning process by deriving an upper bound on its optimality gap. Furthermore, we define an optimization problem to reduce this upper bound and the total privacy leakage. To find the locally optimal solutions of this problem, we first propose an algorithm that schedules the resource blocks and users. We then extend this scheme to reduce the total privacy leakage by optimizing the differential privacy artificial noise. We apply the solutions of these two procedures as parameters of a federated learning system where each user is equipped with a classifier and communication cells have mostly fewer resource blocks than numbers of users. The simulation results show that our proposed scheduler improves the average accuracy of the predictions compared with a random scheduler. In particular, the results show an improvement of over 6%. Furthermore, its extended version with noise optimizer significantly reduces the amount of privacy leakage.
Robust and intelligent control of quadrotors subject to wind gusts
Authors: Simplício Paulo V. G. , Benevides João R. S. , Inoue Roberto S. , Terra Marco H.
Published: January 2024

The combination of artificial neural networks with advanced control techniques has shown great potential to reject uncertainties and disturbances that affect the quadrotor during trajectory tracking. However, it is still a complex and little‐explored challenge. In this sense, this work proposes the development of robust and intelligent architectures for position control of quadrotors, improving flight performance during trajectory tracking. The proposed architectures combine a robust linear quadratic regulator (RLQR) with deep neural networks (DNNs). In addition, a comparative study is performed to evaluate the performance of the proposed architectures using three other widely used controllers: linear quadratic regulator (LQR), proportional‐integral‐derivative (PID), and feedback linearization (FL). The architectures were developed using the robot operating system (ROS), and the experiments were performed with a commercial quadrotor, the ParrotTM Bebop 2.0. Flights were performed by applying wind gusts to the aircraft's body, and the experimental results showed that using neural networks combined with controllers, robust or not, improves quadrotors' flight performance.
Multi‐Scale Feature Attention‐DEtection TRansformer: Multi‐Scale Feature Attention for security check object detection
Authors: Sima Haifeng , Chen Bailiang , Tang Chaosheng , Zhang Yudong , Sun Junding
Published: January 2024

X‐ray security checks aim to detect contraband in luggage; however, the detection accuracy is hindered by the overlapping and significant size differences of objects in X‐ray images. To address these challenges, the authors introduce a novel network model named Multi‐Scale Feature Attention (MSFA)‐DEtection TRansformer (DETR). Firstly, the pyramid feature extraction structure is embedded into the self‐attention module, referred to as the MSFA. Leveraging the MSFA module, MSFA‐DETR extracts multi‐scale feature information and amalgamates them into high‐level semantic features. Subsequently, these features are synergised through attention mechanisms to capture correlations between global information and multi‐scale features. MSFA significantly bolsters the model's robustness across different sizes, thereby enhancing detection accuracy. Simultaneously, A new initialisation method for object queries is proposed. The authors’ foreground sequence extraction (FSE) module extracts key feature sequences from feature maps, serving as prior knowledge for object queries. FSE expedites the convergence of the DETR model and elevates detection accuracy. Extensive experimentation validates that this proposed model surpasses state‐of‐the‐art methods on the CLCXray and PIDray datasets.
Enhanced sliding mode controller design via meta‐heuristic algorithm for robust and stable load frequency control in multi‐area power systems
Authors: Tran Anh‐Tuan , Duong Minh Phuc , Pham Nhat Truong , Shim Jae Woong
Published: January 2024

This article introduces a novel approach named HBA‐dHoSMO, which combines a continuous decentralized higher‐order sliding mode controller‐based observer (dHoSMO) with the honey badger algorithm (HBA), specifically designed for load frequency control in multi‐area power systems (MAPSs). Traditional sliding mode controllers (SMCs) employed in load frequency control of MAPSs often face challenges related to chattering and oscillations, leading to decreased robustness and stability. Additionally, tuning the parameters for these SMC designs to achieve optimal performance in MAPSs can be challenging. The HBA‐dHoSMO is proposed to address the issues of chattering and oscillations, while the optimal parameters for SMC design are obtained using HBA. The stability analysis of the entire system is conducted using linear matrix inequality and the Lyapunov stability theory, affirming the reliability and feasibility of the approach. A comprehensive set of case studies is performed under various configurations and conditions. Additionally, particle swarm optimization and tuna swarm optimization, in conjunction with SMC‐based and proportional–integral–derivative controllers, are examined for performance comparison. Simulation results demonstrate the superior performance of the proposed controller across all case studies. This is evidenced by the lowest integral time absolute error values recorded as 0.0133, 6.45 ×  10−4, and 0.0167 for single‐, two‐, and three‐area power systems, respectively.
VoWi‐Fi security threats: Address resolution protocol attack and countermeasures
Authors: Lu Kuan‐Chu , Liu I.‐Hsien , Chang Keng‐Hao , Li Jung‐Shian
Published: January 2024

B5G/6G networks are facing challenges in the deployment of additional base stations. However, Taiwan's four major operators have launched VoWi‐Fi calling services to maintain signal quality and coverage for customers. These services pose potential threats when users connect to untrusted Wi‐Fi networks. Therefore, the authors utilised commercial equipment to study the security of VoWi‐Fi calling services offered by Taiwan's four major telecom companies. The authors employed address resolution protocol attack methods to develop two verification attacks that bypass existing security measures: one for dropping session initiation protocol packets and the other for dropping voice call packets, both capable of circumventing current security defences. Through real‐world experiments, the authors confirmed their feasibility and assessed their potential harm. Consequently, two defence methods are proposed. The first is an anti‐attack algorithm for app and device manufacturers to detect the security of the user's calling environment. The second is a recommendation for telecom operators to implement new detection mechanisms to safeguard user rights.

The cover image is based on the Case Study VoWi‐Fi security threats: Address resolution protocol attack and countermeasures by Kuan‐Chu Lu et al., https://doi.org/10.1049/ntw2.12113
Modeling and simulation analysis of interleaved double dual boost converters in energy storage field
Authors: Guo Baining , Liu Junqi , Sun Mingye , Zhai Shuo , Zhao Zhiheng , Hai Bin
Published: January 2024

Although interleaved double dual boost converters have been widely studied for energy storage, their detailed feature analysis is rarely discussed. To this end, this paper systematically analyzes features regarding interleaved double dual boost converters to provide the basis of the controller design. First, the topological structure and working principle are introduced, which is an indispensable pretreatment for the steady‐state feature analysis. Second, the voltage gain analysis, and input voltage ripple analysis output voltage ripple analysis, which is an indispensable feature analysis for the following controller design. Furthermore, the relative controller regarding the interleaved double dual boost converter is proposed in this paper. Finally, the simulation and experimental results illustrate the effectiveness of the feature analysis.
Voltage dip propagation in renewable‐rich power systems utilizing grid‐forming converters
Authors: Aljarrah Rafat , Karimi Mazaher , Azizipanah‐Abarghooee Rasoul , Salem Qusay , Alnaser Sahban
Published: January 2024

The growing integration of converter‐interfaced renewable energy sources (RESs) utilizing Grid‐Following (GFL) converters has displaced conventional synchronous generators (SGs) in central generation units. This shift presents challenges, including diminished system inertia, lower fault levels, and implications for system strength and network resilience. The propagation of voltage dips, particularly during disturbances like system Short Circuit (SC) faults, is adversely affected by the increased penetration of such RESs. This is attributed to the limited support capability of these sources and their distinct SC response compared to SGs. In response to these challenges, Grid‐Forming (GFM) converters emerge as a promising technology equipped with advanced functionalities that emulate SG operation. Consequently, they hold potential for mitigating the effects of voltage dip propagation in renewable‐rich power systems. This study aims to assess the impact of employing GFM converters in renewable‐rich power systems on voltage dip propagation across the network. The authors’ investigation begins by examining the SC response of GFM converters and comparing it with the responses of traditional GFL converters and SGs. The paper proceeds to analyze voltage dip propagation, considering various penetration scenarios involving RESs based on GFL and GFM converters. The IEEE 9‐BUS test system, implemented in the DIgSILENT PowerFactory software, serves as the basis for these evaluations. Through extensive simulations and analysis, the authors’ research provides valuable insights into the effectiveness of GFM converters in enhancing the network's response to voltage dips.
Study Of Accessibility and Minimum Service Standards (MSS) of Trans Koetaradja Stops in Relation to User Satisfaction
Authors: Musauwir  , Caisarina Irin , Sugiarto
Published: January 2024

Trans Koetaradja had six corridors that traversed the city of Banda Aceh and parts of Aceh Besar Regency. The lack of public interest was attributed to factors such as accessibility and Minimum Service Standards (MSS) implemented at Trans Koetaradja stops, concerning security, safety, comfort, affordability, equality, and regularity, which were deemed suboptimal. The aim of this research was to analyze the suitability of the existing conditions of Trans Koetaradja stops and examine the dominant factors of accessibility and SPM that influenced user satisfaction with Trans Koetaradja. A quantitative research approach was used, employing data collection techniques through observation in the bus stops from corridor 1, corridor 2A, and corridor 5. The observation results indicated that the Trans Koetaradja stops were not fully compliant with the MSS. Furthermore, the PCA test results revealed that the factors that contributed to user satisfaction with Trans Koetaradja stops were security and regularity, distance and comfort, user convenience, time, cost, and affordability.
Analysis Of Satisfaction Of Service Quality Designable House Using Importance Performance Analysis (Case Study: Banda Aceh City and Aceh Besar District)
Authors: Putri Vimia Nabila , Darma Yusria , Hasan Muttaqin , Ziana Ziana
Published: January 2024

The quality of livable housing services is the ability of the Aceh People's Housing and Settlement Area Office to meet the needs of livable housing in accordance with the expectations of the beneficiaries. In the literature review, there are 35 indicators which are part of the five dimensions of service quality for livable housing. The hypothesis in this study is that not all of the 35 indicators of service quality for livable housing in Banda Aceh City and Aceh Besar District are at performance levels that need to be maintained. This means that there are a number of indicators whose performance does not need to be maintained, performance needs to be increased at low priority, and performance needs to be improved at high priority. This study aims to evaluate the quality of livable housing services based on the level of satisfaction and interest of the beneficiaries, evaluate indicators of livable housing quality services that need to be improved in terms of performance, and evaluate the value of the beneficiary satisfaction index on the quality of livable housing services. This study uses a quantitative method approach through a questionnaire. The variables reviewed include 5 factors, namely tangible, reliability, responsiveness, assurance, and empathy. The sampling technique used is simple random sampling of 175 beneficiaries. Data analysis techniques used descriptive statistics, Importance Performance Analysis (IPA), and Customer Satisfaction Index (CSI). The results showed that the quality of livable housing services based on the level of beneficiary satisfaction was at the satisfaction level with a mean of 3.108 and based on the level of interest of the beneficiaries was at a very important level with a mean of 3.537. The indicators for the quality of livable housing services that need to be improved in terms of performance as a top priority are not leaving beneficiaries waiting for the requested information and understanding the wishes of beneficiaries. The beneficiary satisfaction index value for the quality of livable housing services was obtained at 77.72% which is considered satisfied.
Green supply chain management strategy in the Indonesian construction industry using analytic network process to improve sustainability
Authors: Armyn Machfudiyanto Rossy , Adi Wijaya Padantya
Published: January 2024

The construction industry is among the sectors associated with high environmental risks, with the construction supply chain process being a primary concern due to its potential for environmental damage. The absence of green practices in the Indonesian construction industry has led to an ongoing increase in energy consumption and greenhouse gas emissions, posing a significant environmental threat. Green supply chain management (GSCM) is a concept that integrates the environmental aspect into traditional supply chain processes and can provide benefits not only on environmental performance but also on economic and organizational performance. This study aims to derive a suitable GSCM strategy in the Indonesian construction sector and investigate the relationship of GSCM strategy on sustainability performance. This study employed ANP to select the GSCM strategy and correlation analysis to examine the relationship involving professionals and practitioners in construction. The findings revealed that the efficiency-based strategy had the highest weight among the various GSCM strategies, and sensitivity analysis demonstrated that this strategy was not significantly affected by changes, making it the most suitable GSCM strategy. Also, the result indicates that the efficiency-based strategy moderately impacts sustainability performance. Therefore, the implementation of efficiency-based strategy can improve the sustainability of the Indonesian construction industry.
The Effect of Bottom Ash as Partial Replacement of Fine Aggregate in Different NaOH Molarities on the Compressive Strength of Geopolymer Mortar
Authors: Nurwidayati Ratni , Saniah Intan , Chairunnisa Nursiah , Yuniati Pratiwi Ade
Published: January 2024

This study compared the compressive strength of the geopolymer mortar with different percentages of bottom ash as a replacement for fine aggregate. Fly ash from two sources was blended as raw materials. Sodium silicate (Na2SiO3) and sodium hydroxide (NaOH) were used as alkaline solutions, with a ratio of 2.5 and two NaOH concentrations of 8M and 10M. The percentage of bottom ash was substituted up to 30%. The result indicated that the setting time was longer due to the higher molarity of NaOH. The compressive strength of mortar geopolymer at 10M of NaOH was higher than 8M. Higher percentages of bottom ash significantly decreased the compressive strength. However, at 10M NaOH, the compressive strength was decreased by only 11% (20% of substituting). Increasing the molarity of NaOH decreased the absorption of mortar geopolymer and increased the restrain to sodium sulfate.
Evaluation of Parameters Service Standard Minimum (SPM) Based on Perceptions of Road Users National Segment Kayee Lon - Meulaboh
Authors: Arba Suhendri , Isya Muhammad , Darma Yusria , Mutiawati Cut
Published: January 2024

In an effort to address community needs and assist the acceleration of regional economic development, road construction has become a government priority. The problem in road services is that the Minimum Service Standards (SPM) have not been met based on the functional indicators of road sections, road structure and road safety. Road SPM refers to the provision of roads to meet the needs of the community in terms of the physical size of the road in accordance with certain technical criteria. The government, as the operator of the road, is required to carry out the legal mandate as a form of service to the community using the road. The purpose of this study was to determine the service quality of the Kayee Lon - Meulaboh National Road Segment based on the level of importance and performance and to find out which variables are the top priority for improving performance. To perform this study, 135 randomly chosen respondents were given questionnaires on a Likert scale, and the data was processed using the IPA (Importance Performance Analysis) method. The service quality of the Kayee Lon–Meulaboh National Road Segment with Functional Indicators of Road Sections is at the “Important” level with a mean of 3.924 and at the “Moderate” level with a mean of 3.400 based on performance level. Structural indicators of road sections are at the “Important” level in terms of importance, with a mean of 4.189, and at the “Moderate” level in terms of performance, with a mean of 2.995. The Road Safety Indicator is at the “Important” level based on importance, with a mean of 3.924, and at the “Not Good” level based on performance, with a mean of 2.171. Lane width is the factor whose performance has to be enhanced as a top priority for Road Section Functional Indicators. Pavement surface drainage and crack width are two variables that need to perform better in relation to the Road Section Structural Indicators’ top priority. Variables that need to be improved in terms of performance as a top priority for Road Safety Indicators are street lighting, zebra crossing and crossing facilities.
Utilization of Fly Ash and Stone Dust to Improve the Compressive Strength of Mortar
Authors: Prasetia Irfan , Trihamdani Muhammad
Published: January 2024

The consumption of raw materials in the construction industry is rapidly increasing each year. Therefore, the construction industry has started turning to sustainable alternative materials, especially concrete and mortar. This research aims to assess the effect of fly ash and stone dust (as alternative materials) in mortar mixtures. For this purpose, mortar samples were prepared by substituting 100% fine aggregate (sand) with stone dust. Additionally, the cement replacement ratio with fly ash was set at 25%, 30%, and 35%. To evaluate the effect of water to binder (w/b) ratio, mortar samples were prepared with w/b ratios set at 0.3, 0.35, and 0.4. Furthermore, samples were cured for 7, 28, 42, and 90 days. The mortar samples were made according to SNI 03-6825-2002, with dimensions of 5x5x5 cm. The results show that different w/b and fly ash ratios affect mortar’s compressive strength. Mortar mixtures with a w/b ratio of 0.35 and a 35% replacement ratio of cement with fly ash are suggested as optimal due to their impressive compressive strength outcomes and environmentally friendly composition. Furthermore, it was also observed that 42 days is the most effective curing period for mortar with fly ash and stone dust.
Estimation of Soil Erosion Hazard in The Simpo Subwatershed, Indonesia
Authors: Fauzi Muhammad , Refika Cut Dwi , Azmeri Azmeri , Fatimah Eldina , Shaskia Nina
Published: January 2024

River siltation caused by sedimentation in the downstream area of Simpo River, Juli Sub-district, Bireuen Regency, is suspected to occur due to increased land erosion. The siltation leads to a decrease in river capacity and triggers overflow (flooding) during the rainy season. This affects residential areas, plantations, and tourist areas around the river. This research aims to estimate the rate of land erosion and map the Erosion Hazard Level (EHL) occurring in the Simpo Subwatershed. The estimation is carried out with the Universal Soil Loss Equation (USLE) method based on the Geographic Information System (GIS). The data used includes 10 years of monthly rainfall data, soil type maps, Digital Elevation Model (DEM) data, and land cover maps. Based on the calculation results, the rate of land erosion is found to be 52592.9 tons/ha/year. Furthermore, the erosion hazard in the Simpo Subwatershed ranges from low to high levels. The EHL in the subwatershed is dominated by the High-Moderate category, reaching 38.1%. Most of the areas affected by this erosion category are spatially located in the upstream area with moderately steep slopes (15–25%), primarily consisting of plantation areas. This indicates that soil conservation measures need to be adopted in the region.
The Effect of Polyethylene Fiber Addition and Fiber Length on the Behavior of Tensile Loaded Ferrofoam Concrete Plates
Authors: Abdullah  , Zuhri Zamia Minan , Abdullah Nora , Fauzi Muhammad
Published: January 2024

This study investigates the influence of adding polyethylene fibers and varying their lengths on the behavior of ferrofoam concrete plates under tensile loading. Test specimens of ferrofoam concrete plates with three different matrix variations were prepared: plain foam concrete, foam concrete with 10 mm fibers, and foam concrete with 15 mm fibers. Tensile tests were conducted to evaluate the cracking capacity of the plates for each variation. The results show that the addition of polyethylene fibers improves the ductility and tensile strength of the foam concrete. The 15 mm fibers exhibited a split tensile strength ratio of 13.84% to the compressive strength of the concrete. Additionally, the use of fibers increased the average cracking capacity of the ferrofoam concrete plates, with the highest value reaching 1.5 MPa. However, the ultimate tensile capacity of the plates was not significantly affected by the addition of fibers.
The Analysis of Service Level on Diponegoro Road, Pasar Aceh: Comparing The Existing Condition and with on-Street Parking Restriction
Authors: Cut Mutiawati , Fitrika Mita Suryani , Ruhdi Faisal
Published: January 2024

Traffic congestion is a major problem in cities, especially on the main roads in the Central Business District (CBD) area, as occurred on Diponegoro Road in Banda Aceh, Indonesia. This problem has economic, social, and environmental impacts, such as fuel wastage, longer travel times, and air pollution from vehicle exhaust gases. Factors causing traffic congestion include side friction, such as road crossings (Pedestrian/PED), parking and stop vehicles (PSV), entry and exit vehicles (EEV), and slowmoving vehicles (SMV). Diponegoro Road is a three-lane one-way road (3/1 TT). However, only one lane is effective during peak hours, while the other is used for vehicle parking. Therefore, this study aims to analyze the service level of Dipenogoro Road under existing conditions and with the implementation of on-street parking restrictions. The road performance was calculated using the Indonesian Road Capacity Guidelines (PKJI) 2023 method. The data needed are traffic volume, road geometrics, side friction, and population. The study results show that the road's service level on weekdays (Monday and Thursday) is on level C, indicating that traffic conditions limit the speed and movement of vehicles, and the drivers are restricted in choosing the desired speed. On Sunday mornings, the road level of service is on level B, while in the afternoon, it becomes level D. This difference in service level occurs because there is no activity to access schools or workplaces on Sunday mornings. On Sunday afternoons, most citizens go shopping or sightseeing, causing volume and roadside friction to increase and road performance to drop. The level of road service with the implementation of on-street parking restrictions shows a good level (A and B), with an indication of stable traffic flow, and drivers are free to choose their driving speed. Thus, this research recommends maximizing off-street parking to limit on-street parking.
Simplified Spatial Wind Vector Interpolation Method for Airport Runway Orientation Analysis
Authors: Chaliqi Taufiq Luthfi , Putri Aqlima , Apriandy Fadhlullah
Published: January 2024

Runway orientation, guided by windrose analysis is crucial in airport planning as it directly influences aircraft performance and airport capacity. Proper alignment reduces crosswind components during takeoff and landing, ensuring safer operations and increase runway coverage. For a new airport in a location where comprehensive historical wind data is not available, prediction methods become an invaluable tool. To address this issue, this paper proposes a simplified interpolation method to predict wind data at target location based on available data from surrounding climate station readings. This paper validates the proposed method through a comparative analysis of predicted and actual windrose and its subsequent runway coverage at two prominent currently operational Indonesian airports: Soekarno Hatta International Airport in Cengkareng (CGK) and Sultan Hasanuddin International Airport in Ujung Pandang (UPG). Additionally, the study employs the proposed method to determine the optimal runway orientation for a new VVIP airport in Indonesia's new capital city (IKN), Nusantara. The analysis reveals that the proposed interpolation method yields runway heading recommendations closely aligned with those derived from actual wind data, both for the case of CGK and UPG airport. The proposed method recommends optimal runway heading between 03-21 and 08-26 for new VVIP Airport at Nusantara, new capital city of Indonesia (IKN).
The Application of Analytical Hierarchy Process (AHP) to Determine The Construction Project Risk
Authors: Wijayaningtyas Maranatha , Megania Orissa Yukrista , Munasih
Published: January 2024

Realisation of implementation also has various risk levels that affect project delays, as a result of which project performance is disrupted and causes losses to costs, time and quality of work. This research location is in a construction project at the vehicle test service office, which aims to identify, analyse, evaluate and mitigate risks using the AHP methods. However, the Risk Breakdown Structures method was first conducted to compile a structured description of project risk identification based on risk categories and subcategories. The collected data were analysed using the AHP method to obtain the dominant risk, then mitigate risk by interviewing experts and validating from various sources so that it becomes the basis for conclusions. The risk of delay in the construction project includes four risk categories and twenty subcategories analysed using the AHP method. The results of processing the data on the dominant risk of uncertainty are the increase in the price of building materials by 10.172%, the rise in fuel prices by 7.835%, and the delay in handing over land by 6.710%. As for risk mitigation, construction providers implement and create strategies to save fuel use and generate work methods regarding the scope and time of project implementation.
Performance Of Concrete-To-Concrete Bond Strength in Wetland Area
Authors: Oktavia Anita , Pratiwi Ade Yuniati , Chairunnisa Nursiah
Published: January 2024

One of the techniques of building rehabilitation methods is repairing. Repair is a rehabilitation process to restore the initial capacity of damaged structures on structural components. A fairly popular repair technique is concrete-to-concrete. The strength of this bonding depends on several factors. The mixture used to repair the material affects the bond strength, as does the surface treatment and curing conditions. The study analysedanalysed the influence of strong bonds on surface treatment and curing conditions. Surface preparations were performed with four methods: as cast, drill holes, grooving, and bonding agent. The curing cycle applied two conditions: normal and wet-dry, and the test objects were compressive strength tests, slant shear tests, tensile tests, and flexural tests. The study results showed that the influence of wet-dry environmental conditions was lower than normal environmental conditions, and the highest bond strength values were found in grooving treatments, drill holes, as cast and bonding agents.
Analysis of Bilibili’s Social Media Marketing Strategy
Authors: Pan Yuhao
Published: January 2024

Nowadays, social media has become one of the main ways of entertainment for people after dinner, which is accompanied by the huge industrial structure and commercial chain behind it. How to attract more customers and reap the maximum benefits in the fierce platform competition has become the basic goal of every platform. In essence, there is a three-way connection between the platform, the company and the user and the communication between them to get the content and traffic they want. Therefore, the cooperation between companies, the innovative use of popular IP, and the accurate grasp of user preferences have become the key to the control of traffic flow of social media. By studying the collected literature on social media and Bilibili’s marketing strategies, this paper explores the marketing strategies of social media platforms in the current era and draws out the development prospects of the social media platform Bilibili in the post-epidemic era. Bilibili innovates marketing strategies in such an industry background, fights for a better marketing environment and timely adjusts marketing methods, so as to quickly seize a certain position in the increasingly fierce competitive market and improve its competitive advantage. This article takes Bilibili as an example to analyze the social media operation strategy and the reasons why it can get a head start in the post-pandemic era.
Analysing the model of “theme park & tourism performing arts”: A case study on Songcheng Company
Authors: Hu Yuchen
Published: January 2024

In recent years, with the increase in people’s demand for tourism, the output value of the tourism performing arts industry has increased, and market competition has become fierce. In this case, Song Cheng Performing Arts Co., Ltd. (Songcheng Company) has developed faster than the average level of the industry since 2013 and has become a leading enterprise in the industry in recent years. The reason why the purpose of this study was to explore how Songcheng Company has developed rapidly in the past ten years and how the “theme park +tourism performing arts” model makes Songcheng Company successful. This paper finally analysed three reasons by using founding materials and data: This model was complementary. In future development, the company should integrate trend elements and join experiential projects; the model is highly replicable, but the company should strictly control product quality and reduce product homogenization. The model allows the company to build its own IP. Meanwhile, this paper suggests making more effective use of network resources. Through the study of Songcheng Company, this paper makes up for the gap in the study of this model and has a certain reference significance for the development of other tourism enterprises.
A Review of the Influence of Different Leadership Styles on Employees’ Initiative Behavior
Authors: Yang Ying , Zhang Xiaorui
Published: January 2024

The review mainly concludes the impact of three leadership styles, inclusive, transformational and authentic, on employees’ initiative behavior. The comparative method and literature analysis method are the research methods which used. Through the above methods, this study finds that different leadership styles have different degrees of influence on employees’ initiative behavior. Meanwhile, this study also recognizes that management style has a universally favorable orientation effect on employees’ active behavior, whether from its own theoretical framework or leadership level. Also, it finds that most of the effects are influenced by indirect factors rather than direct ones. This study has wide knowledge coverage and a large knowledge span by reading a lot number of domestic and foreign literature. And it is committed to providing more vision and more effective information for subsequent researchers. At the same time, based on the lack of existing authoritative literature on this subject and the narrow research direction, this research wants to attract more people to pay attention to this field and contribute to its development.
Achieving Sustainable Operations: Challenges, Countermeasures, and the Case of Unilever
Authors: Hu Yixuan , Zeng Yumeng
Published: January 2024

This paper explores the challenges and countermeasures companies face in achieving sustainable operations. There are many challenges to achieving sustainable operations, which include financial constraints, strategic transformation, institutional and cultural influences, and financial pressures. This paper proposes that companies can overcome these challenges by formulating a clear sustainability strategy, improving resource efficiency, enhancing supply chain management, promoting environmental innovation, and strengthening social responsibility as countermeasures. Meanwhile, the paper takes Unilever as an example to analyze its remarkable progress in achieving sustainable operations. Unilever has achieved many results by implementing nine health, hygiene, nutrition, greenhouse gases, water resources and waste commitments and setting more than 50 targets. Unilever has also responded positively to the challenge of achieving sustainable operations by working with suppliers, driving waste reduction and implementing carbon-neutral targets. The research in this paper will provide useful lessons and insights for companies to achieve sustainable operations.
Research on the influencing factors of quantitative easing policy
Authors: Lin Zheheng , Wang Jiaxin
Published: January 2024

To cushion the blow from the financial crisis, the Federal Reserve stimulated the economy for the first time in 2008 through quantitative easing. In 2020, the outbreak of the covid-19 has caught the US economy in turmoil again. United States implement QE policy again after six years. While the US economy continues to warm up, the negative impact of QE policy on it has gradually emerged. Therefore, this paper will study three related factors about the impact of quantitative easing through the “Theory + Case analysis” research methods on the unemployment rate, deflation rate, and currency circulation M0. It is found that the implementation and withdrawal of QE are closely related to the change of the unemployment rate, the degree of the deflation rate and the M0 of currency circulation. The significance of this paper is that looking at quantitative easing from multiple perspectives can better understand the essence of policy operation and help the community to prevent the negative effects of quantitative easing.
Analysis of internal and external influencing factors of individual entrepreneurial intention: An empirical study based on global Entrepreneurship Survey
Authors: Zhao Zeren , Liu Junjie
Published: January 2024

Entrepreneurial activities are the power source of promoting a country’s economic development and social progress. Entrepreneurial intention can well predict entrepreneurial activities. Based on the framework of integration analysis, this paper explores the external and internal factors that affect individual entrepreneurial intention. The binary logistic regression method was used to analyze 121,613 valid data samples from 48 countries in the 2018 Adult Population Survey (APS). The results show that entrepreneurial opportunity, entrepreneurial network, entrepreneurial ability, entrepreneurial attitude, and other internal and external factors have significant positive effects on individual entrepreneurial intention. At the same time, the interaction of internal and external factors has a significant positive effect on individual entrepreneurial intention. The interaction of internal and external factors also has significant positive impact on individual entrepreneurial intention. Individual willingness to start a business is influenced by multiple factors such as entrepreneurial network, entrepreneurial opportunity, entrepreneurial ability, and entrepreneurial attitude. It is a comprehensive balance of an individual’s possible risks, benefits, and abilities to start a business, and a comprehensive result of wanting to do something (external opportunities and network relations), ability (knowledge and skills), and daring to do something (risk attitude).
Analysis of the Difference in Stock Price Between A-shares and American Stocks in Machine Learning
Authors: Cao Jing , Sun Xuanze
Published: January 2024

Contemporarily, stock market is the most representative financial investment tool in the world. The application of machine learning has had a significant impact on the development of society and economy as well as productivity, and has also been inextricably linked to the securities market. This study will analyse and compare the technological development of machine learning in the last five years, as well as the stock value data and stock price fluctuations of A-shares and American stocks in the field of machine learning. In this way, the machine learning technology may change the global stock market in the future, and the prospect of this technology in the future. This paper introduces three forecasting models, namely Light Gradient Boosting Machine (lightGBM) model, Convolutional Neural Networks (CNN) model and Long short-term memory (LSTM) model, and studies their influence on stocks and forecasting accuracy. Applying machine learning to financial investment is a two-edged sword, with advantages and disadvantages, opportunities and challenges, depending on whether and the measure to implement it.
Big data analysis of the effectiveness for capital asset pricing model under COVID-19
Authors: He Shuxian , Mai Wanwen , Qin Yinghao
Published: January 2024

In 2020, the novel coronavirus outbreak in China and rapidly spread around the world, causing a great impact on the economies of all countries, but also brought great uncertainty to the global financial market. The epidemic may not only trigger a crisis of supply, investment and supply chain disruption, but also further spread to the financial market, exacerbating systemic risks in the financial market and having a certain impact on the pricing of various types of assets. On this basis, this study conducts an empirical study on stock pricing under the influence of COVID-19 based on capital asset pricing model model to explore its effectiveness. To be specific, this paper selected two representative stocks from five different industries, namely medical care, catering, agriculture, tourism, and automobile, and used their returns from 2015 to 2019 for regression analysis, so as to predict the returns during the epidemic period and judge the effectiveness of the capm model during the epidemic period. These results shed light on guiding further exploration of assets pricing model.
Impact of Public Health Events on Aviation Stock Returns and Volatility: Evidence from COVID-19
Authors: Qin Jiahui
Published: January 2024

The aviation industry was greatly impacted during COVID-19 since 2020. At the end of 2022, the epidemic was basically under control. In the post-epidemic era, the prevention and control policies were relaxed. The aviation industry gradually recovered. These events led to great influence to aviation stocks. To examine the influence of the pandemic on aviation stocks, the event study method and the GARCH model are adopted analysing the return and its volatility. The result indicates that the outbreak of the coronavirus brought about a detrimental impact on aviation stocks. During the epidemic, negative news had a greater impact than positive news, while in the period before the COVID-19 positive news exerted greater impact. Moreover, both persistence and long-term memory of the fluctuation decreased during the pandemic. The come of the post-epidemic era had a favourable influence on aviation stocks. Nevertheless, the effects of both events were relatively transient. These results help to guide aviation stock investment during public health events.
Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration
Authors: Yuan Chaoqun
Published: January 2024

Digital economy, centered around information technology, encompasses digital content, digital industries, digital commerce, and represents a new global economic form. Its application can bring about new development opportunities and enhance efficiency. Rural revitalization is an important recent national strategy aimed at strengthening economic, social, and ecological aspects of rural development, promoting sustainable urban-rural integration. This involves the development of agriculture, rural infrastructure, the creation of beautiful rural landscapes, and ensuring the livelihood of rural residents. The digital economy plays a crucial role in rural revitalization, relying on information technology and employing digitalization, networking, and intelligence to drive industrial transformation, enhance efficiency, and promote innovation, thus forming a new economic model. Specifically in rural areas, the digital economy builds rural e-commerce platforms, offering new sales channels for farmers, creating smart agricultural ecosystems, establishing environmentally friendly foundations for sustainable agriculture, and upgrading rural financial services through digitization, optimizing the allocation of rural financial resources. This accelerates the digitization of rural tourism development and spurs the growth of surrounding rural service industries. Therefore, the digital economy holds significant practical importance for rural revitalization.
Research on Hierarchical Layer Strategy for Power Material Warehouses---A Case Study of X-Electric Power Corporation
Authors: Wang Shanshan , Ge Yanyan
Published: January 2024

We will raise total factor productivity to make China’s industrial and supply chains more resilient and secure. This paper first provides a hierarchical layer strategy and proposes a hierarchical layout model to minimize operating costs. Warehouse management of electrical materials is a critical link in power supply. This paper analyses the situation of power material warehouse layout, including the models of warehouses layout and the main functions of each warehouse. Then makes a hierarchical layer strategy for power material warehouses on X electric power corporation. Distribution Centre is needed for allocation when the power material companies transport critical production. The flow of materials is draw. Finally, built the hierarchical layer strategy model of power material warehouses, which must consider many influencing factors, such as transportation costs, warehouse maintenance costs, and time penalty costs. This serves as a foundation for research into active distribution of electrical materials.