International Journal of Applied Science

Optimizing Logcumsumexp on Cambricon MLU: Architecture-Aware Scheduling and Memory Management

2025-07-04T09:53:33+08:00

The Logcumsumexp algorithm is a core method for numerically stable cumulative summation in logarithmic space, especially suitable for scenarios involving extremely small or large numerical computations. By applying logarithmic transformation, this algorithm effectively addresses the common issues of underflow and overflow in probability calculations, deep learning, and statistical modeling, making it an important high-performance computing algorithm. In recent years, China's chip industry has been continuously rising, and the domestic MLU computing platform from Cambricon Technologies has provided new options for global users. Based on the Cambricon MLU computing platform and in combination with its hardware structure, this paper constructs a set of Logcumsumexp algorithm named MLULCSE, which can perform Logcumsumexp operations on tensors of any dimension along the specified dimension and has been optimized for different types of Logcumsumexp tasks. By categorizing tasks into four types and implementing different strategies tailored to the hardware architecture, we achieved efficient logcumsumexp computation. This work enables efficient probabilistic computing on domestic AI accelerators, experimental results show that MLULCSE running on MLU 370-X4 has a hardware time that is controlled within 7 times compared to Pytorch Logcumsumexp running on Tesla V100, and in some cases, it even reaches 0.42 times.

Analysis of Dalian's Railway Freight Market and Strategies for the Development of Multimodal Transportation

2025-07-16T14:09:29+08:00

From 2020 to 2023, the growth rate of railway freight volume in Dalian was 12.3%. In order to implement the national dual-carbon strategy, this study will closely integrate with the actual situation in Dalian and innovatively adopt quantitative indicators such as freight volume and railway freight volume to analyze the railway freight market in Dalian. It focuses on the key factors that restrict the development of railway freight transportation and multimodal transport in Dalian, proposes strategies such as adopting multimodal transport to enhance the comprehensive benefits of logistics and transportation, promotes industrial agglomeration and regional development, provides support for Dalian's ecological priority and green development.

Research on Ethical Risks of Digital Technology and Mitigation Strategies on Smart Construction Sites

2025-07-21T10:54:09+08:00

With the widespread application of digital technologies on smart construction sites, ethical risks have become increasingly prominent, potentially provoking strong negative public sentiment and impeding the project process. This study investigates the ethical risks associated with digital technologies on smart construction sites and examines the mechanisms shaping public perceptions of these risks. Employing clear set qualitative comparative analysis (csQCA) and analyzing 30 actual cases, the study identifies key combinations of conditions that trigger public perceptions of ethical risk. The results show that high ethical risks on smart construction sites are not attributed to any single condition in a linear fashion, but rather emerge through three distinct pathways. Based on these findings, we recommend that, in promoting the development of smart construction site technologies, stakeholders should enhance technological supervision, strengthen data protection, and improve communication and coordination among all parties in the construction industry. Additionally, it is necessary to establish an ethical governance framework that incorporates the principles of the United Nations Sustainable Development Goals, emphasizing dynamic governance and worker participation. This study provides both a theoretical foundation and practical guidance for balancing technological innovation with ethical risk prevention on smart construction site practices.

New Energy Wind Turbine Fire Causes and Fire Fighting Strategies--In-depth Analysis and Response Plan

2025-07-23T23:40:02+08:00

As a core new energy technology, wind power plays a key role in the global energy transition. However, wind turbines, especially large-scale and complex new energy turbines with harsh operating environments and compact structures, are increasingly exposed to fire risk, which has become a serious threat limiting industrial safety and sustainable development. Wind turbine fires not only cause huge asset losses and affect the stable supply of electricity, but also may lead to serious environmental and ecological impacts and even personal injuries. Accurately identifying the root causes of wind turbine fires and formulating a scientific, effective fire fighting strategy based on them, adapted to the characteristics of new energy scenarios, is a major issue that needs to be broken through in the field of engineering and technology at present. This paper analyzes the complex mechanism of fire formation, evaluates the limitations and potential risks of the existing fire protection measures, and explores the innovative path of prevention and control, which is of urgent and far-reaching practical significance to ensure the healthy and steady development of the wind power industry.

Analysis of the Application of Injection Molding Technology in the Manufacturing Industry

2025-08-07T23:13:11+08:00

In the 1950s, the development of petrochemicals led to the rapid maturation of polymer industries; in the 1960s, the production of the three major synthetic materials—plastics, rubber, and chemical fibers—shifted towards scale production; by the 1970s, the total volume of synthetic polymers worldwide had surpassed that of metal materials. Polymers must undergo molding processes to become useful products. Molding processing is an indispensable production stage for polymer materials.Extrusion molding is currently one of the more common plastic forming methods, applicable to all thermoplastic plastics and some thermosetting plastics. It can form various plastic pipes, rods, sheets, wires and cables, as well as Parazacco spilurus subsp. spilurus-shaped cross-section profiles, among others. It can also be used for plastic coloring, granulation, and blending. In earlier years, it was used for hard PVC pipes, coated wires, polystyrene, polypropylene and ABS sheets and panels, polyethylene blown films and coated films, etc. Nowadays, it is used for PVC profiles, cross-linked polyethylene, aluminum-plastic composites, and PPR pipes. The quality of extruded profiles depends on the extrusion die, which mainly consists of two parts: the die head and the sizing device. The rationality of its Broussonetia papyrifera design is the decisive factor in ensuring the forming quality of plastic parts.

Traffic Signal Priority Control Based on Traffic Wave Theory

2025-08-11T22:38:32+08:00

With the continuous growth in vehicle ownership, urban traffic congestion has become increasingly severe. Traditional transportation systems and urban road expansion are no longer sufficient to alleviate congestion or meet the mobility needs of residents. In recent years, the rapid development of the Internet of Vehicles (IoV) and vehicle–infrastructure cooperative technologies has opened new avenues for intelligent traffic management. In particular, how to effectively utilize the real-time information from connected vehicles and smart infrastructure to control the movement of connected buses and optimize traffic signal phases at intersections has become a key strategy for improving urban traffic efficiency.

This study focuses on signal timing optimization at connected signalized intersections. First, a vehicle waiting time prediction method based on traffic wave theory is introduced to estimate queue dynamics more accurately. Then, a connected transit signal priority (TSP) control model is developed, aiming to minimize the weighted waiting time of both connected buses and general traffic. The model is solved using a genetic algorithm to obtain the optimal signal timing strategy, thereby achieving effective signal priority control for connected buses.

Dynamic Collaborative Mechanism of Cross-Border E-Commerce Dual-Channel Supply Chain Under Carbon Quota Constraints

2025-09-03T20:44:23+08:00

In the context of the accelerated global carbon neutrality initiative and the formal enactment of the European Union's Carbon Border Adjustment Mechanism (CBAM), the low-carbon transformation of cross-border e-commerce supply chains has become an inevitable trend. This study examines a dual-channel supply chain comprising manufacturers, e-commerce platforms, logistics service providers—including overseas warehouses and direct shipping—and consumers, all constrained by carbon quotas. Considering heterogeneity in consumer preferences for price sensitivity and environmental sustainability, demand functions are developed to differentiate between price-sensitive and green-preference consumers. A three-stage Stackelberg game model is constructed, with the platform as the leader and manufacturers as followers, to analyze optimal pricing and production strategies under carbon quota constraints. The model is solved via backward induction to obtain equilibrium solutions, which are validated through numerical case analysis. The findings indicate that: (1) Carbon quota constraints significantly influence supply chain pricing strategies and channel selection, compelling firms to internalize carbon costs into their decision-making processes; (2) Enhancing consumers' green preferences effectively incentivizes manufacturers to invest in emission reductions and provides a market foundation for platforms to implement green premium strategies; (3) As the leader, the platform's pricing and channel allocation strategies play a decisive role in the overall profitability and carbon emission performance of the supply chain. These insights offer theoretical contributions and strategic guidance for cross-border e-commerce enterprises aiming to optimize economic and environmental outcomes in alignment with the "dual carbon" objectives.

Leveraging Digital Tools for Precision Logistics: IoT and ERP in Automotive Steel Distribution

2025-09-03T20:48:28+08:00

The automotive steel distribution industry faces increasing pressure to achieve higher efficiency, accuracy, and responsiveness. Traditional logistics models are limited by information silos, delayed coordination, and high operational costs. Leveraging digital tools such as the Internet of Things (IoT) and Enterprise Resource Planning (ERP) offers new opportunities for building precision logistics systems. This paper investigates how IoT enables real-time monitoring, data acquisition, and traceability in steel transportation, while ERP provides centralized management for inventory, orders, and scheduling. By constructing an IoT–ERP integration model, the study demonstrates how the synergy of both technologies can optimize the automotive steel distribution process. A case study highlights the practical application, showing improvements in delivery accuracy, inventory turnover, and operational efficiency. The findings indicate that IoT and ERP integration not only enhances supply chain transparency but also provides valuable insights for digital transformation in the automotive logistics sector.

Research on the Cross-cultural Adaptation of the Signage System in Macao's Historical Districts to Multiple Groups

2025-09-08T22:29:50+08:00

The historical district wayfinding system in Macau, as a carrier of the integration of Chinese and Portuguese cultures, faces perceptual differences and functional demand conflicts among three groups: residents, tourists and students. The study, based on 231 mixed questionnaires (including open-ended questions) and field research, focused on the front of the Legislative Assembly (the core tourist area), the Red Market and the Sa Lai Tou district (the residential area), quantitatively analyzed the visual sensitivity, emotional acceptance and functional requirements of the three groups towards Portuguese elements. The study found that the frequency of cultural exposure drove the three groups to show stratified characteristics of "identity-oriented - experience-oriented - cognition-oriented". Based on the integrated data, an optimized strategy of symbolic function adaptation, emotional stratified response, and cultural progressive interpretation was proposed, and scenario-based solutions were designed for the two typical blocks to provide theoretical references for the design of wayfinding systems in multicultural cities.

Research on Innovation Path of Social Governance Based on Block Chain

2025-09-10T17:23:17+08:00

The features of Block Chain, such as decentralization, non-tampering of data, and security of information transmission path, are highly consistent with the concept of social governance, which improves the technical framework of social governance innovation and realizes the creative exploration of Block Chain. From the perspective of innovation path, this paper analyzes that Block Chain shows great potential in promoting innovation of governance technology, optimization of governance structure, intellectualization of governance model and legalization of governance mechanism. However, in the process of combining, the challenges brought by Block Chain to the existing governance system and legal system should also be fully considered. Therefore, while carrying out social governance innovation, the government should play a guiding and supervising role to provide necessary guarantee for the improvement of social governance system.