Distribution Of Services Research Articles

Interactive Path Editing and Simulation System for Motion Planning and Control of a Collaborative Robot

Robots in hazardous environments demand precise and advanced motion control, making extensive simulations crucial for verifying the safety of motion planning. This paper presents a simulation system that enables interactive path editing, allowing for motion planning in a simulated collaborative robot environment and its real-world application. The system includes a simulation host, a control board, and a robot. Unity 3D on a Windows platform provides the simulation environment, while a virtual Linux environment runs ROS2 for execution. Unity sends edited motion paths to ROS2 using the Unity ROS TCP Connector package. The ROS2 MoveIt framework generates trajectories, which are synchronized back to Unity for simulation and real-world validation. To control the six-axis Indy7 collaborative robot, we used the MIO5272 embedded board as an EtherCAT master. Verified trajectories are sent to the target board, synchronizing the robot with the simulation in position and speed. Data are relayed from the host to the MIO5272 using ROS2 and the Data Distribution Service (DDS) to control the robot via EtherCAT communication. The system enables direct simulation and control of various trajectories for robots in hazardous environments. It represents a major advancement by providing safe and optimized trajectories through efficient motion planning and repeated simulations, offering a clear improvement over traditional time-consuming and error-prone teach pendant methods.

Where do data sovereignty security risks come from?-Production perspective based on social reproduction

As a new factor of production, data has been rapidly integrated into all aspects of production, distribution, circulation, consumption and social service management, and has had a profound impact on production methods, lifestyles and social governance methods. In essence, data, as a new factor of production, is the result of the contradictory movement of productivity and production relations in the process of economic development in the digital economy era. It is also the reconstruction of productivity and production relations in the digital era. While the digital industry and digital economy have become an important engine leading global economic growth and bringing huge dividends, data as a production factor is also accompanied by rising sovereign security risks. Taking the production of data elements in social reproduction as an entry point, we clarify the possible security risks of data as a new production factor in the production process, analyze the data sovereignty security risks derived from the security risks, and find that data sovereignty security risks breed when data elements participate in social reproduction. In the production process, there are challenges and threats to data sovereignty security such as internal jurisdiction and control rights owned by sovereign countries, as well as external rights to equality and independence. Therefore, it is necessary to accurately grasp the data sovereignty security risks that exist in the production process of social reproduction of data elements, and build new data production relationships to match the development characteristics of new productive forces, so as to prevent and resolve non-traditional security risks caused by sovereignty security.

An Error Protection Protocol for the Multicast Transmission of Data Samples in V2X Applications

There is a trend towards communication of larger data objects in wireless vehicle communication. In many cases, communication uses publish-subscribe protocols. Data rate requirements of such protocols are best addressed by wireless multicast protocols, but the existing protocols lack an error protection that is suitable for real-time and safety-critical applications. We present an application-aware protocol that supports the popular DDS (Data Distribution Service) middleware. By exploiting data object deadlines and slack for retransmissions and employing an adaptable, multicast-aware prioritization mechanism, the reliable exchange of large data objects is enabled. The protocol is sufficiently general to be used on top of different communication standards such as 802.11- and cellular-based V2X (Vehicle-to-Everything) technologies. The protocol was implemented in an OMNeT++ simulation model and evaluated against recent state-of-the-art alternatives using parameters and constraints taken from a motivational truck platooning example. Furthermore, the protocol was implemented using an open-source DDS implementation as the basis and tested on a physical wireless demonstrator setup. The evaluation shows that the presented multicast protocol substantially outperforms the alternatives keeping streaming applications operational even under high frame error rates.

Ecological Function Zoning Framework for Small Watershed Ecosystem Services Based on Multivariate Analysis from a Scale Perspective

A thorough comprehension of distribution features of ecosystem services (ESs) and the influencing mechanisms can offer scientific guidance for the ecosystem management of small watersheds. We analyzed the spatial distribution patterns, interrelationships, and service hotspots of ESs across pixel and administrative scales using a multi-level statistical analysis approach in the Ashi River Basin. Through the quantitative calculation of the InVEST model, the findings revealed a decrease in soil retention, water yield, total nitrogen and phosphorus export, carbon storage, and habitat quality, while an increase in food production was observed during the period from 1995 to 2015. Through the geographical detector, the spatial heterogeneity of most individual ESs was influenced by land use patterns. Through redundancy analysis, terrain factors had the highest contribution rate to the integral ESs. Socio-economic factors and climate factors also drove the ESs’ amount and spatial distribution. At the pixel scale and administrative scale, there were distinctions in the correlations between all ESs, reflected by the fact that the relationships between ESs at the administrative scale were generally weaker and no more significant than at the pixel scale. Based on the number and distribution of hotspots in ESs and the clustering results of influencing factors, the framework of ecosystem zoning was constructed. This basin was divided into three ecological zones, and the management policies were formulated according to the ecological environment. This study clarifies the internal and mutual connection between ESs and influencing factors across two scales, thus contributing to the advancement of management strategies for ecological conservation and socio-economic development within the context of small watersheds.

Modelling the Contributors of Adoption of Digital Investment Services of Mutual Fund Distribution

Modelling the Contributors of Adoption of Digital Investment Services of Mutual Fund Distribution

Exploring the production of spatial inequality in dockless bicycle sharing in Shenzhen

There have been rising concerns over the unequal geographical distribution of bicycle sharing services in cities. Previous research on inequalities of urban bikeshare has often focused on quantitatively mapping inequalities with big data from travel records. It has thus been unable to examine the causes, reproduction mechanisms, and consequences of observed spatial inequalities in detail. Using the case of Shenzhen, a Chinese megacity with strong governmental control on mobility and a historical legacy of urban segregation, this study aims to achieve a nuanced understanding of the mechanism through which operators, regulators, and users of dockless bicycle sharing interact to produce and reproduce inequalities in accessing and using the service. To achieve this, this study adopts a mixed-method approach consisting of GIS mapping analysis, survey, and interviews with cyclists and experts. The result shows that both the use frequency and perceived accessibility of dockless bicycles are higher in wealthier and more central neighbourhoods. Moreover, strong governmental regulation in the form of a designated parking system, fleet quota distribution and point-based service evaluation have reproduced and enhanced spatial inequalities in dockless bicycle use and access. The findings contribute to the literature by demonstrating how preexisting urban infrastructure and certain regulatory arrangements interact to form a reproduction cycle of inequalities in accessing and using dockless bicycles that favours more central and well-off neighbourhoods at the expense of marginalized communities in Shenzhen.

Modeling Enterprise Software with UAF

AbstractSystems and Software Engineers often have an uneasy relationship. The job of the systems engineer is to work with the stakeholders to define a set of requirements that meet their needs. These are then allocated to various solution spaces such as electronic hardware, mechanical, procedural, and software among others. For many systems, the functional requirements are almost exclusively software requirements. Correspondingly, as an increasing amount of project manpower, schedule time, and budget are allocated to software, it becomes increasingly important that systems and software engineers communicate effectively. The Systems Modeling Language (SysML) has helped in this regard in that it can provide executable behavioral models with precise semantics to express software requirements in a model. These models define “What is required” without overly constraining the implementation. In addition, SysML can be used to define performance constraints, required concurrency, hardware memory and processor budgets, interfaces, safety critical requirements, etc. These aspects are essential for software engineers to understand the constraints and limitations of their environment. At the System of Systems (SoS)/Enterprise level, defining software/systems employs a similar pattern, but at a higher level of abstraction. In the Unified Architecture Framework, capabilities are defined for the enterprise, with systems and software allocated to realize the capabilities. In the same way that capabilities depend on one another, the implementing systems and software interact to support each other. In the past, enterprise software would be modeled as residing in mainframes in a federated software pattern. Modern software can be modeled throughout the enterprise in a distributed network that can adapt to the changing needs of the enterprise to do load leveling, dynamic and late binding, reconfiguration, and reallocation of hardware resources as necessary. If the domain includes the Industrial Internet of Things (IIOT), then deployment could include edge devices, embedded software, Programmable Logic Controllers (PLC), PCs, servers, cloud computing, and of course mainframes. The Object management Group (OMG) Data Distribution Services (DDS) standard enables these capabilities across these devices in a universal format implemented by multiple vendors. However, before this complex system of systems can be implemented, it must first be architected and designed to ensure that it will be fit for purpose both now and as the complex system of systems expands and evolves. This paper will examine the aspects of modeling software in the UAF, and how it can help guide enterprise and system and software architecture.

재난피해자의 삶의 질에 영향을 미치는 심리사회적 요인

This study aimed to examine the level of quality of life (QOL) and the psychological and social factors influencing QOL among single-person and multi-person household disaster victims. This study utilized the third-year data from the Disaster Victims Panel Survey. The final analysis included data from 1,301 adults aged 20 and above, and multiple regression analyses were conducted separately for single-person and multi-person households. The main findings of this study are as follows: It was found that the level of QOL among multi-person household disaster victims was higher than that of single-person household disaster victims. Additionally, different psychological and social factors influencing QOL were observed between single-person and multi-person households. Among the psychosocial factors, resilience, depression, self-rated health status, and community resilience were identified as significant common predictors influencing the QOL of disaster victims in all household types. On the other hand, for single-person household disaster victims, only post-traumatic stress disorder (PTSD) emerged as a significant predictor of QOL. In the case of multi-person household disaster victims, social support and satisfaction with relief and distribution services emerged as new predictive factors influencing QOL. Based on these findings, policy and practical implications for improving the QOL of disaster victims according to household types are suggested.

An improved approach to organising mobile edge computing in a 5G network

Mobile edge computing is an important element in ensuring the efficiency of the 5G network as a whole, as it enables data storage and computing at the network edge. Existing solutions do not fully address the issues of load distribution between computing nodes, and most solutions do not offer methods for verifying computations and controlling errors. Accordingly, this paper aims to develop an approach to the organization of mobile edge computing in a 5G mobile network that would authenticate distribution servers and computing nodes, manage the process of distributing computing nodes, have a procedure for verifying the correctness of calculations, and take into account the parameters of computing nodes during distribution. To achieve this goal, we propose to use the developed method. The method of load balancing and selection of computing nodes for edge computing via 5G allows for identifying available nodes and distributing computing blocks among them. It also provides mutual authentication of elements and includes a method of data verification and error detection for the MEC system. The provided solution allows for controlling errors during calculations and protecting the server from incorrect data. These methods are optimized according to minimum network resources and computing time criteria. These improvements increase the efficiency of mobile edge computing in a 5G network.

Penal and Social Aspects of Water Theft: A Case Study of Ternate City

There are many cases of water theft from the Regional Drinking Water Company, especially in Ternate City. Article 28 letter h Regional Government of Ternate City No. 28 of 2011 on the Drinking Water Service of the Ternate City Municipal Water Company prohibits taking drinking water directly from distribution pipes or service pipes without going through a water meter. This research to analyze legal efforts against criminal acts of theft of Drinking Water Company Ternate City water committed by customers and non-subscribers through criminal and social efforts. This empirical research uses a statutory approach and a case approach. The results showed legal prevention of criminal acts of water theft can be done through penal efforts emphasizing repressive efforts (suppression/ eradication/extermination) and non-penal efforts emphasizing social and community efforts (prevention/anticipation/control). It is expected that the combination of criminal sanctions and social sanctions is expected to reduce the rate of water theft.

Logistics distribution scheduling algorithm based on artificial intelligence

In order to improve the quality of urban logistics distribution services and meet customer needs to the greatest extent, improve the utilization rate of service resources and reduce the cost of logistics and distribution services, the author proposes an urban logistics distribution scheduling algorithm based on artificial bee colony. Uncertain dynamic customer demands often occur during the execution of logistics distribution services, resulting in the inability to achieve optimal cost by executing the distribution service according to the original plan, in response to such problems with dynamic customer needs, the author conducted a problem analysis, the corresponding mathematical model is established and transformed into a static problem for rescheduling. The result shows: Using the scheduling algorithm to solve the example 100 times, when the vehicle 1 and vehicle 3 can meet their own load, they can serve customers with new needs, which can make the delivery cost the lowest. In the case of a small number of customers, the algorithm can achieve high accuracy, and when the number of customers reaches a certain scale, the stability of the algorithm will decrease slightly. ConclusionThe algorithm achieves the purpose of promptly responding to changes in customer demand and quickly adjusting distribution services.

The Economic and Socio-Cultural Impact of the Beauty Industry in the European Union

Abstract In recent years, the beauty industry has grown a lot and is now a big part of the economy in the European Union. This paper looks at how the beauty industry affects society and the economy. It talks about jobs, new ideas, consumer happiness, and economic growth. First, the paper gives an overview of the European beauty industry, including its size, structure, and main trends. Then, it discusses how the industry creates jobs, both directly and indirectly, in manufacturing, distribution, retail, and beauty services. The paper also talks about how the industry is good for innovation, such as developing new products, using technology, and making new marketing plans. Beyond the economy, it looks at how the beauty industry affects how people feel. It talks about how taking care of oneself can help people feel better about themselves and more confident. The paper also explores how the beauty industry influences culture and social norms, like fashion, beauty standards, and how people see beauty in society. Finally, the paper looks at the beauty industry’s contribution to the EU economy. It talks about how the industry helps with GDP, taxes, and investment from other countries. The paper also mentions how the industry supports new ideas, entrepreneurship, and economic growth in different regions

Mirroring the inequalities of mainstream music platforms: popularity, revenue, and monetization strategies on Bandcamp

ABSTRACT In the era of digital music streaming, understanding the monetization and popularity dynamics of online audio distribution platforms is crucial for both researchers and music industry professionals. While much of the existing research has focused on mainstream platforms such as Spotify and Apple Music, we study Bandcamp, an alternative marketplace that, among other things, empowers independent artists to upload and sell their music. Leveraging a rich dataset of one million Bandcamp sales, we investigate the distribution of popularity and revenues among artists on the platform. Our analysis reveals a substantial level of inequality, with a small core of musicians concentrating most of the purchases and revenues. Surprisingly, our results also indicate that many artists adopt a monetization strategy that involves devaluing their products, potentially leading to a cherry-picking of songs by consumers. These findings shed light on the challenges faced by alternative music distribution services and emphasize the need for further exploration of a fairer and more sustainable business model for independent artists.

Operational Matrix Framework for Energy Balance Analysis for Early Stage Design of Complex Vessels

Considering vital ship systems or distributed ship service systems at the early stage of complex vessels is a challenging task. The recent UCL Network Block Approach aimed to enable ship designer to address ship systems design synthesis simultaneously as a logical network using MATLAB with a CPLEX Toolbox in MATLAB and representative piping, cabling, and trunking routings on the physical description of the ship using a proven CASD tool PARAMARINESURFCON. This was possible due to adopting a set of frameworks, as part of this comprehensive approach. The paper presents one of the frameworks: the Operational Matrix, to formulate distributed ship service systems network in the early stage design of complex vessels. The application of the framework could take on many forms and can be manipulated to suit a specific distributed ship service system’s design. In this paper, a tutorial is given, leading from the simplest application of the Operational Matrix Framework to an example of a complex Operational Matrix application for the 3D multiplex submarine systems problem. The use of the proposed Operational Matrix Framework is shown to reveal the relationship between objective functions, constraints, bounds, and solutions of that linear programming formulation. The Operational Matrix Framework can enable the solvers (CPLEX Toolbox in MATLAB) to be very efficient in advancing early stage ship design applications. The Framework could be developed further for investigating the analysis of energy balances for new systems to achieve net zero energy demands for future naval vessels.

Quality of Financial Services Fund Distribution and Bank Channeling at PT. Pos Indonesia KCU Surabaya

Currently the existence of PT. Pos Indonesia as a postal service provider is increasingly under threat because there are competitors who also provide similar services such as courier and logistics services and there are also quite a lot of assessments indicating dissatisfaction with the services provided. This fact encouraged PT. Post to continue to improve the quality of postal services, especially in financial services, Fund distribution and Bank channeling, so that it can continue to compete with competitors providing other courier and logistics services. The aim of the research is to describe the quality of Fund Distribution and Bank Channeling financial services at PT. Pos Indonesia (Persero) main branch Surabaya 60000. The type of research is descriptive qualitative. Data collection techniques through observation, interviews and documentation. Data analysis techniques include data collection, data reduction, data presentation and drawing conclusions or verification. The theory used is the service quality theory of Zeithaml, Parasuraman and Berry (1990) (Hendrayady et al., 2020) which consists of: Tangible, Reliability, Responsiveness, Assurance, and Empathy). The research results show that the quality of financial services, Fund distribution and Bank channeling at PT. Pos Indonesia (Persero) Main Branch Surabaya 60000 can be said to be good because it provides a sense of comfort and satisfaction to service users. However, there are still several shortcomings related to the fact that there are still employees who do not use identification cards and queue numbers that are rarely used at bank channeling service counters.

Low-Cost Automated Storage and Retrieval System for Chemicals Warehouses and Central Refrigerators

The Automated Storage and Retrieval Systems are known as ASRSs which is moved by a mechanical system and controlled by electronical system. The system has introduced many advantages in the production, storage, distribution, and customer services. Many of the proposed systems use high techniques, complex programs, and an intractable interface, and besides their complexity in programming and using, they still at a high cost. The paper proposes a simple and low-cost Automated Storage and Retrieval System using Arduino boards to control the whole system. This work has been studied on specific sites, which are Chemicals Warehouses and Central Refrigerators. The system has been designed and implemented based on two components, Hardware and Software. The proposed system determines the types of goods, pick them up and put them on the suitable shelve depends on its type. The system was designed with a database to store information and an executable file installed in computers to follow up on entered quantities and to order quantities when needed.

Phase Noise in Real‐World Twin‐Field Quantum Key Distribution

AbstractThe impact of noise sources in real‐world implementations of twin‐field quantum key distribution (TF‐QKD) protocols is investigated, focusing on phase noise from photon sources and connecting fibers. This work emphasizes the role of laser quality, network topology, fiber length, arm balance, and detector performance in determining key rates. Remarkably, it reveals that the leading TF‐QKD protocols are similarly affected by phase noise despite different mechanisms. This study demonstrates duty cycle improvements of over a factor of two through narrow‐linewidth lasers and phase‐control techniques, highlighting the potential synergy with high‐precision time and frequency distribution services. Ultrastable lasers, evolving toward integration and miniaturization, offer promising solutions for agile TF‐QKD implementations on existing networks. Properly addressing phase noise and practical constraints allows for consistent key rate predictions, protocol selection, and layout design, crucial for establishing secure long‐haul links for the quantum communication infrastructures under development in several countries.

Integration of Building Services in Modular Construction: A PRISMA Approach

Modular construction is gaining worldwide attention. Building services are the systems that make buildings comfortable and efficient. Mechanical, electrical, and plumbing (MEP) systems provide heating, cooling, lighting, energy distribution, and water services. Modular construction integrates building services into prefabricated modules at the manufacturing site, which are then transported to the construction site. A systematic review (SR) of building services integration within modular construction is thus necessary. Prior to the SR, a quantitative analysis of the retrieved 115 publications from the Scopus database was explored. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guide, 13 relevant publications from the Scopus database and via the Research Rabbit application were profiled. MEP systems integration approaches and research needs were examined. Recent literature emphasizes technology integration and sustainability, while early studies laid the framework for modular approaches. The findings highlight the potential of digital technologies like building information modeling (BIM) and recommend a holistic framework for the entire building’s lifetime, from design to operation. Future research directions include performance studies, modular building service adaptation, and industry-wide standards building. Researchers and practitioners seeking to improve modular construction methods and integrate complex building services will gain insights from this study.

Strategy for Improving Clean Water Distribution Services by Village-Owned Enterprises (Bumdes) in Sumbertlaseh Village

Strategy for Improving Clean Water Distribution Services by Village-Owned Enterprises (Bumdes) in Sumbertlaseh Village

Optimal determination of valve setting coefficient for the multi-tank water feeder system

ABSTRACT Filling up water to several water distribution service tanks equitably needs a proper valve setting in the operation. Setting by trial and error requires considerable time which could invite more labour-level exercise. This study addresses the issue of unequal water distribution to elevated service tanks (ESTs). It is possible to achieve an optimal valve loss coefficient, which ensures equal water supply to all ESTs. Throttle and control valves play a crucial role in regulating the flow rate and pressure of water. An optimization framework for the valve setting coefficient is proposed. The genetic algorithm is used as an optimization model and hydraulic simulation is performed using EPANET 2.0 software through its toolkits. The proposed model is applied to a hypothetical system and illustrated. The obtained valve setting coefficients make equitable distribution of water to all the ESTs.