Execution System Research Articles

ISSUES OF RESPONSIBILITY IN THE FIELD OF INTELLECTUAL PROPERTY

This article analyses the specifics of resolving disputes on liability for violations of intellectual property rights under the legislation of the Republic of Uzbekistan. The authors separately studied the specifics of resolving issues of property liability in civil and economic courts, public law disputes in administrative courts, as well as administrative offenses and crimes in criminal courts. Based on the analysis, the authors note the importance of 1) specialization of courts; 2) the use of alternative dispute resolution measures; 3) improving the system of execution of court decisions; 4) the use of an integrated approach to solving problems of responsibility on the Internet.

Clarification on the Temporary Suspension of Execution System as Stipulated in Article 39 of the Tax Collection Act

Clarification on the Temporary Suspension of Execution System as Stipulated in Article 39 of the Tax Collection Act

Smart Pet Monitoring and Parenting System

bstract: Pets bear regular and controlled quantities of food for their good health. Since Internet of things ( IoT) have come to our lives, we've developed colorful smart services utilizing IoT. Basic services of the smart pet monitoring and feeding systemare Remote feeding, remote ruled spontaneous defecation, CCTV indulgence and Smart phone APP that can give the control information of the below services. Introductory armature and system executions are acquainted with the details of services. spontaneous pet affluents can set the time and quantum of food in advance with precise scales, tallying to the pets need. It also records and cover via the Internet of effects( IoT). The robust robot can maneuver around the house and can cover one's pet utilizing the authority of the internet of effects. A smartphone app was aimed to interact with your pet via a live videotape feed. The lattice of the robot is digitally fabricated as several corridor were created utilizing 3D printing and ray slice. The engine consists of an ultrasonic detector, a camera to descry the motion of the canine correlate precious feeding geste across multitudinousaffluents if present-day, and allows a pet proprietor to ever acclimate parameters of the confluent or view the pet through a camera

Automated system of court enforcement proceedings as element of information provision for compulsory enforcement of decisions

The aim of the article was to suggest ways to improve the legislation regulating the scope of operation of the automated system of judicial enforcement proceedings, in order to increase the effectiveness of enforced execution of decisions while respecting human rights. The methodology of the article was based on the application of the following methods of scientific cognition: analytical, deductive, hermeneutic, comparative and synthesis. In addition, the authors analyze the legal regulation of the operation of the automated system of execution of court judgments, as an element of information provision for the forced execution of resolutions and, at the same time, have revealed the gaps in its legal regulation and, consequently, have suggested the ways to eliminate them. It was definitely established that there was no need to amend the legislation concerning the distribution of enforcement documents among private enforcement officers within their districts of jurisdiction. In the conclusions it was offered to improve certain provisions of the Ukrainian legislation regulating the provision of information on compulsory enforcement of decisions, in particular, to give the prosecutor access to information on judicial enforcement proceedings on an equal footing with the parties.

Monitoring and Sceduling of a Bridge Using Primavera: A Review

The primary objective behind the research is to identify the job role of monitoring and controlling the project progress of construction and procure recourse allocation using management tools such as primavera P6. This was accomplished through revising the literature and procedures used in monitoring and control. The study served as a roadmap for analysing construction progress and identifying specific issues that arose during the process. The findings of the study revealed the shortcomings of the current project management system in project execution. A new project management plan is completed that is both efficient and cost-effective. By allocating more resources to project activities, the time cost trade of the project duration can be lowered. However, doing so raises the project's cost. For scheduling a set of project tasks, the critical route method is employed. Primavera software was also used for resource analysis. In this paper presents review of literature related to planning, scheduling of construction project KeyWord: Resource allocation, Resource Levelling, Time cost trade off, primavera, planning and scheduling.

Assessment of Economic Efficiency and Its Determents for Mixed Crop Livestock Production under Dryland Agriculture System in the Western Zone of Tamil Nadu, India

In order to accomplish economic, social, and environmental objectives, farm diversification is a significant feature in India’s agricultural systems and rural development. It is crucial to examine factors impacting farm productivity, such as socio, structural, and Circular Economy (CE) factors, in order to ensure the sustainability of varied farms. A decision to follow a farm circularity approach is required to increase agricultural production, return on investment, and achieve sustainability, so the current study was designed to move forward in identifying farm efficiency and their influencing drivers in production systems for the successful execution of circularity in future farms. The objective of this paper is to find the existing operational efficiency of farms, variables that impact a farm’s efficiency, the disparities in farm efficiency, and variables dominating farm efficiency. The efficiency behaviours of Indian farms operating in 2020–2022 were studied and regressed against the factors influencing farm performance. A two-step technique and survey data were employed. To assess variations in the relevance of drivers, an input-oriented Data Envelopment Analysis was employed; in the second stage, efficiency ratings were used as a dependent variable in a Tobit regression analysis. Explanatory variables for enhancing farm performance included social, structural, and Circular Economy (CE) drivers. The age of the farmer, total farm area, and dryland area as socio-structural variables, and reduce, recycle, and redesign as CE variables, have proven to affect the farm’s efficiencies significantly. Managerial implications in terms of technical, allocative, cost efficiency, and their drivers have been drawn from study findings. CE has been confirmed to be the strategy over which the farmer has complete control and has been found to have a more significant impact on farm efficiency. Social structural determents are second in terms of their impact. Farmers in the region have cushy access to inputs; however, they are not utilized to their maximum effect. Therefore, the study indicates that inefficient dryland farmers could increase their production by concentrating on a circular economy strategy.

Research on Supervision System of Power Safety Tools and Equipment Based on Internet of Things Technology

A power-system protection device built using Internet-of-Things (IoT) technologies in an intelligent environment. IoT supports electrical and physical parameters monitoring. One of the characteristics that must be checked is electricity usage from electronic gadgets. It is a complex problem to design energy-efficient IoT methods. IoT gets more complicated because of its vast size, and current wireless sensor network approaches cannot be used directly to IoT. Information gathering on the area is monitored by intelligent cellular terminals, intelligent security tools, and other multi-source sensing equipment. That is the foundation for the combined analysis and evaluation of security risk extensive data by cloud computing and edge computing. The IoT-based Power safety tools management (IoT-PSTM) system has been developed to integrate it into intelligent settings, such as smart homes or smart cities, to safeguard electrical equipment. It is meant to increase power security by quickly disconnecting in failure events such as leaking current. The system allows for real-time monitoring and alerting of events using a sophisticated data-concentration architecture communication interface. The goal is to progress and merge several technologies technically and integrate them into a personal safety system to increase security, preserve their availability, eliminate mistakes, and reduce the time required for scheduled or ad hoc interventions. Real-time data transmission, instant data processing from diverse sources, local intelligence in low-power embedded systems, interaction with many on-site users, sophisticated user interfaces, portability, and wearability are the main difficulties for the research project. This article offers a comprehensive explanation of the design and execution of the proposed system and the test findings. The results denote the higher performance of the suggested IoT-PSTM system with IoT module and enhanced performance of 94.7%.

Dynamic project planning with digital twin

The digital twin (DT) concept plays a crucial role in Industry 4.0 and the digitalization of manufacturing processes. A DT is a virtual representation of a physical object, system, or process, designed to accurately reflect its real-world counterpart. In manufacturing, existing process data are often incomplete and do not qualify as a DT. However, with the help of specialized communication frameworks and cheaper, easier-to-use sensors, it is possible to integrate the existing manufacturing execution system (MES) and enterprise resource planning (ERP) data with the missing data gathered from the shop floor to create a comprehensive DT. In this paper, we present a digital shop floor decision support system (DSS) for non-linear aluminum manufacturing production. The system is split into five main components: digitization of shop floor orders; merging and sorting of MES, ERP, and shop floor data; custom and genetic optimization algorithms for the aging furnace production step; layout construction mechanism for optimal placement and stacking of orders in the furnace; and a user-friendly graphical user interface (GUI). The system’s performance was evaluated through three tests. The first test measured the efficiency of digitization, the second aimed to quantify time saved in finding packets in the hall, and the last test measured the impact of the optimizer on furnace productivity. The results revealed a 23.5% improvement in furnace capacity, but limitations were identified due to usability and human intervention.

Edge Computing Resource Allocation Algorithm for NB-IoT Based on Deep Reinforcement Learning

Mobile edge computing (MEC) technology guarantees the privacy and security of large-scale data in the Narrowband-IoT (NB-IoT) by deploying MEC servers near base stations to provide sufficient computing, storage, and data processing capacity to meet the delay and energy consumption requirements of NB-IoT terminal equipment. For the NB-IoT MEC system, this paper proposes a resource allocation algorithm based on deep reinforcement learning to optimize the total cost of task offloading and execution. Since the formulated problem is a mixed-integer non-linear programming (MINLP), we cast our problem as a multi-agent distributed deep reinforcement learning (DRL) problem and address it using dueling Q-learning network algorithm. Simulation results show that compared with the deep Q-learning network and the all-local cost and all-offload cost algorithms, the proposed algorithm can effectively guarantee the success rates of task offloading and execution. In addition, when the execution task volume is 200KBit, the total system cost of the proposed algorithm can be reduced by at least 1.3%,and when the execution task volume is 600KBit, the total cost of system execution tasks can be reduced by 16.7% at most.

A real-time and ACO-based offloading algorithm in edge computing

With the increasingly widespread use of networks and end devices, more and more data and computations must be processed. With processing constrained by the limited resources of the end device, edge computing plays an important role. Edge computing offloads computation to surrounding edge nodes with corresponding computing capabilities so that the end device can get a response within a reasonable latency to meet the user's needs. Since these edge nodes are composed of multiple heterogeneous computing units, any system's task-offloading strategy must necessarily affect the system's load balance and execution time. This study proposes a real-time, two-stage ant colony algorithm (RTACO) with the following goals: 1) the algorithm requires low latency; 2) the algorithm minimizes the makespan of all tasks; 3) the algorithm optimizes the system load and reduces the burden of the task-offloading algorithm, thereby providing a stable and high-performance edge computing system. Experiments show that RTACO requires low execution time, and can still effectively achieve good results even when the system has limited resources.

СУТНІСТЬ ТА ЗМІСТ ПІДГОТОВКИ МОЛОДШИХ ІНСПЕКТОРІВ-КІНОЛОГІВ ДО ФОРМУВАННЯ НАВИКІВ СЛУХНЯНОСТІ У РОЗШУКОВИХ СОБАК

The Strategy for Reforming the Penitentiary system until 2026 states that during the specified period, it is necessary to ensure, among other things, the formation of an effective model of training and activity of the personnel of the penitentiary system. In order to create an effective model of training and activity of the department’s personnel, the scientific and pedagogical staff of the department of cynology at the Territorially Separate Branch «Khmelnytskyi Branch of the Academy of the State Penitentiary Service» based on the analysis of the state of cynology support of the units of execution of punishments system, made changes to the educational and methodological support of educational activities. Among the tasks assigned to the cynology service by the leadership of the State Criminal and Executive Service is the task of improving training methods and tactics for the use of service dogs in the security system of penitentiary institutions and detention centers. To fulfill the specified task, the scientific and pedagogical staff of the department of cynology prepared and introduced changes in the methodology of training service dogs in various areas of training, taking into account the specifics of the service activity of the structural divisions of the penitentiary system, the training of special dogs to search for narcotic drugs and psychotropic substances was started, and the preparation for training cynology dogs was completed teams with attacking dogs. The article is addresses to highlighting the peculiarities of teaching the educational discipline «Methodology and technique of training service dogs» at the Department of Cynology in general, and methodical aspects of conducting a training course with junior cynology inspectors on the formation and improvement of obedience skills in search dogs assigned to them, in particular. In the context of the tasks defined by the guidelines for search dogs, changes to the set of obedience skills exercises for the training course are proposed and their general characteristics are given. It was determined that the basis of the effective conduct of the training course is mastery of the theoretical aspects of training by dog trainers, knowledge and use of methodical techniques and mastery of the technique of error-free execution of training exercises to form the complex of necessary skills in service dogs. Key words: technique, obedience skills, training, junior cynology inspector, service dogs.

ОКРЕМІ АСПЕКТИ ПІДГОТОВКИ МОЛОДШИХ ІНСПЕКТОРІВ-КІНОЛОГІВ ЗІ СПЕЦІАЛЬНИМИ СОБАКАМИ

The training of cynologists for the system of execution of punishments additionally involves the implementation of a number of educational activities aimed at developing practical skills in a cynologist who must use a service dog at a high professional level, and for this it is extremely important to have the necessary level of knowledge and skills. Methodological support for the training of cynologist with service dogs to perform the assigned tasks remains relevant. The article highlights the peculiarities of the staffing of service dogs in penitentiary institutions and remand detention centers of the State Criminal and Executive Service of Ukraine. Based on the analysis of the regulatory and legal framework for the implementation of cynology support for law enforcement agencies of Ukraine regarding the selection of service dogs for special service and experience, the criteria for the selection of service dogs for penitentiary institutions and remand detention centers of the State Criminal and Executive Service of Ukraine for training in the direction of the special service for the search for narcotic drugs and psychotropic substances are proposed. The requirements for the cynologist are outlined, the list of material and technical support is indicated, and the mode and leader of the training classes are proposed. The essence and content of the method of development by cynologists of a behavioral reaction in dogs to obtain the desired object is revealed, which is based on the sequence of practicing exercises by a cynologist with a service dog in order to acquire the practical skills of a trainer to prepare a dog to search for narcotic drugs and psychotropic substances. In the context of the tasks defined by the normative documents of the Ministry of Justice of Ukraine regarding professional training, the proposed separate aspects of the training of dog handlers with service dogs in penitentiary institutions and detention centers of the State Criminal and Executive Service of Ukraine will contribute to the effective training of cynology pairs by specialization in the educational institution of the State Criminal and Executive Service of Ukraine. Key words: selection, special dogs, penitentiary institutions, Department of Cynology, training, training of dogs.

Software runtime monitoring with adaptive sampling rate to collect representative samples of execution traces

Monitoring software systems at runtime is key for understanding workloads, debugging, and self-adaptation. It typically involves collecting and storing observable software data, which can be analyzed online or offline. Despite the usefulness of collecting system data, it may significantly impact the system execution by delaying response times and competing with system resources. The typical approach to cope with this is to filter portions of the system to be monitored and to sample data. Although these approaches are a step towards achieving a desired trade-off between the amount of collected information and the impact on the system performance, they focus on collecting data of a particular type or may capture a sample that does not correspond to the actual system behavior. In response, we propose an adaptive runtime monitoring process to dynamically adapt the sampling rate while monitoring software systems. It includes algorithms with statistical foundations to improve the representativeness of collected samples without compromising the system performance. Our evaluation targets five applications of a widely used benchmark. It shows that the error (RMSE) of the samples collected with our approach is 9%–54% lower than the main alternative strategy (sampling rate inversely proportional to the throughput), with 1%–6% higher performance impact.

Cooperative Task Execution for Object Detection in Edge Computing: An Internet of Things Application

The development of computer hardware and communications has brought with it many exciting applications in the Internet of Things. More and more Single Board Computers (SBC) with high performance and low power consumption are used to infer deep learning models at the edge of the network. In this article, we investigate a cooperative task execution system in an edge computing architecture. In our topology, the edge server offloads different workloads to end devices, which collaboratively execute object detection on the transmitted sets of images. Our proposed system attempts to provide optimization in terms of execution accuracy and execution time for inferencing deep learning models. Furthermore, we focus on implementing new policies to optimize the E2E execution time and the execution accuracy of the system by highlighting the key role of effective image compression and the batch sizes (splitting decisions) received by the end devices from a server at the network edge. In our testbed, we used the You Only Look Once (YOLO) version 5, which is one of the most popular object detectors. In our heterogeneous testbed, an edge server and three different end devices were used with different characteristics like CPU/TPU, different sizes of RAM, and different neural network input sizes to identify sharp trade-offs. Firstly, we implemented the YOLOv5 on our end devices to evaluate the performance of the model using metrics like Precision, Recall, and mAP on the COCO dataset. Finally, we explore optimal trade-offs for different task-splitting strategies and compression decisions to optimize total performance. We demonstrate that offloading workloads on multiple end devices based on different splitting decisions and compression values improves the system’s performance to respond in real-time conditions without needing a server or cloud resources.

Detrimental effects of sleep deprivation on the regulatory mechanisms of postural balance: a comprehensive review.

This review addresses the effects of sleep deprivation on postural balance based on a comprehensive search of articles dealing with this relationship in the electronic databases PubMed, Google Scholar, and ScienceDirect. Evidence suggests that postural balance is sensitive to acute and chronic sleep deprivation for everyone, including young and healthy subjects. Pathologies, aging and the circadian pattern aggravate and/or accentuate the effects of sleep deprivation on postural balance. It turns out that the different systems of information taking, decision making, and motor execution of the postural balance function are negatively affected by sleep deprivation. For example, regarding the information taking system, the sensitivity of visual perception and visuo-spatial performance and the oculomotricity are disrupted and the vestibulo-ocular reflex and the sensory reweighting are altered. Regarding the decision making system, the different brain areas activated for the regulation of postural balance are less active after sleep deprivation and the executive function and perception of verticality are impaired. Regarding the motor execution system, the agonist-antagonist muscle coordination can be modified. However, the different detrimental effects induced for each system of the postural balance function are not yet fully known and deserve further exploration in order to better understand them.

A Digital Twin-Based Distributed Manufacturing Execution System for Industry 4.0 with AI-Powered On-The-Fly Replanning Capabilities

Industry 4.0 smart production systems comprise industrial systems and subsystems that need to be integrated in such a way that they are able to support high modularity and reconfigurability of all system components. In today’s industrial production, manufacturing execution systems (MESs) and supervisory control and data acquisition (SCADA) systems are typically in charge of orchestrating and monitoring automated production processes. This article explicates an MES architecture that is capable of autonomously composing, verifying, interpreting, and executing production plans using digital twins and symbolic planning methods. To support more efficient production, the proposed solution assumes that the manufacturing process can be started with an initial production plan that may be relatively inefficient but quickly found by an AI. While executing this initial plan, the AI searches for more efficient alternatives and forwards better solutions to the proposed MES, which is able to seamlessly switch between the currently executed plan and the new plan, even during production. Further, this on-the-fly replanning capability is also applicable when newly identified production circumstances/objectives appear, such as a malfunctioning robot, material shortage, or a last-minute change to a customizable product. Another feature of the proposed MES solution is its distributed operation with multiple instances. Each instance can interpret its part of the production plan, dedicated to a location within the entire production site. All of these MES instances are continuously synchronized, and the actual global or partial (i.e., from the instance perspective) progress of the production is handled in real-time within one common digital twin. This article presents three main contributions: (i) an execution system that is capable of switching seamlessly between an original and a subsequently introduced alternative production plan, (ii) on-the-fly AI-powered planning and replanning of industrial production integrated into a digital twin, and (iii) a distributed MES, which allows for running multiple instances that may depend on topology or specific conditions of a real production plant. All of these outcomes are demonstrated and validated on a use-case utilizing an Industry 4.0 testbed, which is equipped with an automated transport system and several industrial robots. While our solution is tested on a lab-sized production system, the technological base is prepared to be scaled up to larger systems.

Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis

Manufacturing is facing challenges in integrating information technology (IT) with operational technology (OT) and implementing Industrial Internet of Things (IIoT) concepts in the industry to increase manufacturing flexibility. This paper addresses the research gap in designing and using next-generation manufacturing execution systems (MES)/manufacturing operations management (MOM) in IIoT to improve manufacturing flexibility through reconfigurability. For this, we follow an abductive research design and build on the literature on Industry 4.0′s information architectures and models to propose a framework for building smart factory capabilities. Using the framework, we collect empirical data on MES/MOM implementation objectives for smart factories for six case studies conducted over a 4-year research project in Denmark (2018–2021), primarily through semi-structured interviews.Through cross-case analysis, we identify seven dominant themes that capture focus areas for MES/MOM implementation for IT/OT integration. We use these findings to present generalized design recommendations for IIoT-connected MES/MOM to support reconfigurability for Industry 4.0 supply chains. Our findings indicate that despite considerable investments from many companies in Industry 4.0 initiatives such as artificial intelligence-based analytics and digital twins, the industry is not yet in a state to extract the data from all its legacy production equipment. Therefore, we present design recommendations to enable Industry 4.0 supply chains with IIoT-connected MES/MOM by using the data from OT devices. Our analysis helps us conclude that open standards and open application programming interfaces (APIs) are key requirements for enhancing IIoT interconnectivity and interoperability to achieve end-to-end integration in supply chains.

Siberian Exile and Its Reformation during Reign of Peter Great (XVII—XVIII)

The history of the formation and development of the Siberian criminal exile, the main link in the all-Russian system of execution of punishment in the Russian Empire during the 18th— 19th centuries is discussed in the article. It is shown that the exile to Siberia appeared already at the end of the 16th century, however, during this period, called “Moscow”, it did not yet have a proper organization. The study provides examples that convincingly prove that it was only under Peter I and thanks to his efforts that the Siberian exile began to acquire a legal and organized character, began to play an important role in the protective and punitive system of the state. The novelty of the study lies in the fact that for the first time an attempt was made to comprehensively study the transformations of Peter the Great in the field of legal regulation of the system of hard labor and exile, which is shown on the example of Siberia in the 17th—18th centuries. It is shown that it was under Peter that criminal exile and hard labor became not only forms of punishment for criminals, but also the main way to use free labor in the construction of strategically important facilities for the country located on the borders of the Russian Empire.

Logics and Algorithms for Hyperproperties

System requirements related to concepts like information flow, knowledge, and robustness cannot be judged in terms of individual system executions, but rather require an analysis of the relationship between multiple executions. Such requirements belong to the class of hyperproperties, which generalize classic trace properties to properties of sets of traces. During the past decade, a range of new specification logics has been introduced with the goal of providing a unified theory for reasoning about hyperproperties. This paper gives an overview on the current landscape of logics for the specification of hyperproperties and on algorithms for satisfiability checking, model checking, monitoring, and synthesis.

Execution of IoT System using Blockchain with Authentication and Data Protection

Abstract: Blockchain allows users and data providers to ensure authentication, authorization and data validity with proper multi-key exchange authentication for user identity and hash key for Blockchain so that the data is not just stored but also validated each time the user access. In this paper, we apply Zero Knowledge proof to a Strong rooms using RFID Card reader and Camera module IoT systems to prove that a prover without disclosing information such as public key enhances the anonymity of Blockchain