Different Types Of Operations Research Articles

Rankin–Cohen type differential operators on Hermitian modular forms

Rankin–Cohen type differential operators on Hermitian modular forms

Cargo Bike Sharing in Urban Areas: A Comparative Perspective on Different Types of Operators

Cargo Bike Sharing in Urban Areas: A Comparative Perspective on Different Types of Operators

Research on Phase Diagram of an Improved Dual-Lane Heterogeneous Lattice Hydrodynamic Model Considering Curved Road

The actual road traffic is a heterogeneous traffic flow composed of various types of vehicles. Ensuring safe operation of different types of vehicles while improving traffic stabilization has become a very important issue. Inspired by this, taking into account the discrepancy between the safety headway and the maximal velocity of different types of vehicles, an improved dual-lane heterogeneous lattice hydrodynamic model (DLHLHM) considering curved road is put forward in this research. The improved model’s stabilization condition is inferred by reductive perturbation method. The mKdV equation is also inferred to describe the evolutionary processes of traffic density wave. Numerical examples probed into the impact of lane-changing rate, angle of curved road and different maximum speeds and safety distances on traffic stabilization. The hysteresis loop for new model also is explored to study traffic flow stabilization. Numerical simulation results accord with theoretical analysis, which indicates the effectiveness and feasibility of the DLHLHM. This study provides a new perspective on the dynamic evolution of heterogeneous traffic flow.

A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management

Air traffic flow management plays a crucial role in efficient aviation. Most existing studies assume the flight speed as constant throughout the trip, leading to ineffective fixed-speed schedules. To address this issue, we propose a new problem model, which allows variable speed control to improve the flexibility and maneuverability of the management. In addition, we consider two conflicting objectives, which are minimizing the total flight delays and conflicts between flights, where the conflicts depend on the flight 4D trajectories (3D position plus time). To solve this new challenging problem, we propose a novel multi-objective evolutionary algorithm with new problem-specific individual representation and search operators. Specifically, the multi-chromosomes encoding scheme is designed to adapt to different types of operations. Then, to search the huge search space effectively, we develop a hybrid crossover operator that recombines the parents based on their flight routes. Furthermore, to balance the exploration and exploitation, we develop a new mutation strategy to utilize the heterogeneous search potential of different individuals. For exploitation, the knee individual in the Pareto front is improved by a new time shift operator for exploitation, and other non-dominated solutions are mutated by fixed-route mutation. For exploration, the dominated solutions are mutated randomly. To verify the effectiveness, we compare it with the real air traffic flow management schedules and the state-of-the-art algorithms on a range of real-world air traffic datasets. Extensive results show that the proposed algorithm can significantly outperform the baselines in generating safe and efficient 4D trajectories.

Eyring–Kramers law for Fokker–Planck type differential operators

We consider Fokker–Planck type differential operators associated with general Langevin processes admitting a Gibbs stationary distribution. Under assumptions ensuring suitable resolvent estimates, we prove Eyring–Kramers formulas for the bottom of the spectrum of these operators in the low temperature regime. Our approach is based on the construction of sharp Gaussian quasimodes and avoids supersymmetry or PT-symmetry assumptions.

Current Challenges of International Legal Regulation of EAEU — China Partnership in Transport and Logistics

At the current stage of development of international relations, when factional trends in the foreign policy of such significant world leaders as the European Union and the United States are only gaining momentum, China has become the main strategic partner for Russia likewise for the EAEU. Due to the introduction of international sanctions against both China and Russia, reorientation of economic cooperation and, therefore, transportation and logistics routes to the East seems to be the most correct development paradigm. However, at the current level of development of science and technology, it is necessary to expand and intensify the formation of the array of international legal legislation to create an effective basis for legal regulation of the transport and logistics industry for the growth of synergistic effect of integration processes in the Eurasian space.Aim. To analyze various aspects of international legal regulation of the ways of integration of the EAEU and China in the transport and logistics sphere to increase the level of economic interaction between the partner countries.Tasks. It is proposed to consider the main trends in the formation of an array of international legal acts aimed at creating a basis for effective cooperation between China and the EAEU in the current geopolitical conditions, taking into account the need to develop advanced regulation of the introduction of digital technologies, including the development of logistics platforms, to create conditions for seamless cargo transportation in the Eurasian region.Methods. The study used formal-legal and comparative-legal methods, deduction, synthesis, induction, as well as abstraction and system method.Results. The necessity to develop unified regulatory requirements both in the sphere of technical operation of different types of transport and the creation of a regulatory framework for the development of conjugate EAEU-China transport and logistics digital infrastructure, providing seamless multimodal transportation to obtain a synergistic effect from the economic integration of the Eurasian region was substantiated.Conclusions. The comprehensive diagnosis of the effectiveness of international partnershop between the EAEU and China in transport and logistics proposed by the authors of the study will allow to adjust the existing strategy of interaction between the countries and increase the efficiency of Eurasian integration through the implementation of measures aimed at the development of seamless logistics.

Inverse problems for real principal type operators

abstract: We consider inverse boundary value problems for general real principal type differential operators. The first results state that the Cauchy data set uniquely determines the scattering relation of the operator and bicharacteristic ray transforms of lower order coefficients. We also give two different boundary determination methods for general operators, and prove global uniqueness results for determining coefficients in nonlinear real principal type equations. The article presents a unified approach for treating inverse boundary problems for transport and wave equations, and highlights the role of propagation of singularities in the solution of related inverse problems.

Energy from nuclear fission

The physics of nuclear fission will be briefly illustrated, from the basic mechanism behind this phenomenon to the relevant physical quantities like nuclear cross sections, neutron flux and reaction products, together with the accompanying phenomenon of neutron capture and its role in determining how the fuel transforms in a nuclear reactor. The basic concepts underlying the operation of different types of nuclear reactors will be illustrated, along with the concept of fuel cycle. The aspects of radioactive waste, fuel resources and safety will also be briefly illustrated.

An agent-based simulator for airport ground handling services

Airport ground handling plays an essential role in shortening the turnaround time for better utilization of aircraft that can reduce the cost per flight. One of the key challenges for improving the efficiency of airport ground operations is to comprehensively simulate the ground handling processes to optimize and evaluate various operation strategies. In this work, we develop an agent-based simulator that specifically focuses on the whole process of airport ground handling from landing to takeoff. It allows different types of agents, i.e. aircraft, ground vehicles, operators, and dispatchers, to execute their own behaviors according to the ground operation characteristics. The interactions among different agents are also modeled according to the specific service agreements. We use the Shanghai Pudong International Airport (PVG) for the case study to demonstrate the interfaces and outputs of the simulator including the simulated flight information, the progress of ground handling services, airfield status, etc. With the developed simulator, we could not only reproduce the real-world operations of different types of services but also have enough potential to optimize and evaluate various airport ground operation strategies under a series of complex scenarios.

Localization operator and Weyl transform on reduced Heisenberg group with multidimensional center

In this article, we study two different types of operators, the localization operator and Weyl transform, on the reduced Heisenberg group with multidimensional centre G. The group G is a quotient group of non-isotropic Heisenberg group with multidimensional centre Hm by its centre subgroup. Firstly, we define the localization operator using a wavelet transform on G and obtain the product formula for the localization operators. Next, we define the Weyl transform associated to the Wigner transform on G with the operator-valued symbol. Finally, we have shown that the Weyl transform is not only a bounded operator but also a compact operator when the operator-valued symbol is in Lp, 1 ≤ p ≤ 2, and it is an unbounded operator when p > 2.

Frequency of Abdominal Wall Hernias: A Nigerian Hospital Experience

Introduction: Hernia is a very common condition in all populations, and its surgical operation constitutes a major workload for physicians worldwide. Although great numbers of these procedures are done in primary and secondary care settings as well as in private hospitals and as part of surgical missions to rural areas, a significant proportion is still present in tertiary centers. Aim: To review the pattern of external hernias operated upon in Federal Medical Centre, Owerri, over a 10-year period. Methods: The theatre records were searched for all patients who underwent surgical operations for hernia in the period of 2005–2014. The data on patient demographics, indication for surgery, and procedure performed were retrieved. Results: A total of 902 patients underwent operations for different types of external hernias. The overall male/female ratio was 2.6:1. Operations for inguinal hernia were the most common, accounting for 72.9% (658) of the total. Ventral hernias constituted 25.1% (n=227) of the cases whereas 1.5% (n = 12) of patients had femoral hernia. One hundred and twelve patients (12.4%) had emergency surgery, of which 78 were for inguinal hernia. Mesh repair was started in 2009 and was utilized in 72 (8%) cases. Laparoscopic method of repair was used in only two patients. Conclusion: The pattern of operation for hernia in our center mirrors the experience in other local centers. Modern methods of repair are gaining ground.

Applying self-powered sensor and support vector machine in load energy consumption modeling and prediction of relational database

This study explores the analysis and modeling of energy consumption in the context of database workloads, aiming to develop an eco-friendly database management system (DBMS). It leverages vibration energy harvesting systems with self-sustaining wireless vibration sensors (WVSs) in combination with the least square support vector machine algorithm to establish an energy consumption model (ECM) for relational database workloads. Through experiments, the performance of self-sustaining WVS in providing power is validated, and the accuracy of the proposed ECM during the execution of Structured Query Language (SQL) statements is evaluated. The findings demonstrate that this approach can reliably predict the energy consumption of database workloads, with a maximum prediction error rate of 10% during SQL statement execution. Furthermore, the ECM developed for relational databases closely approximates actual energy consumption for query operations, with errors ranging from 1 to 4%. In most cases, the predictions are conservative, falling below the actual values. This finding underscores the high predictive accuracy of the ECM in anticipating relational database workloads and their associated energy consumption. Additionally, this paper delves into prediction accuracy under different types of operations and reveals that ECM excels in single-block read operations, outperforming multi-block read operations. ECM exhibits substantial accuracy in predicting energy consumption for SQL statements in sequential and random read modes, especially in specialized database management system environments, where the error rate for the sequential read model is lower. In comparison to alternative models, the proposed ECM offers superior precision. Furthermore, a noticeable correlation between model error and the volume of data processed by SQL statements is observed. In summary, the relational database ECM introduced in this paper provides accurate predictions of workload and database energy consumption, offering a theoretical foundation and practical guidance for the development of eco-friendly DBMS.

Strong Differential Subordinations and Superordinations for Riemann–Liouville Fractional Integral of Extended q-Hypergeometric Function

The notions of strong differential subordination and its dual, strong differential superordination, have been introduced as extensions of the classical differential subordination and superordination concepts, respectively. The dual theories have developed nicely, and important results have been obtained involving different types of operators and certain hypergeometric functions. In this paper, quantum calculus and fractional calculus aspects are added to the study. The well-known q-hypergeometric function is given a form extended to fit the study concerning previously introduced classes of functions specific to strong differential subordination and superordination theories. Riemann–Liouville fractional integral of extended q-hypergeometric function is defined here, and it is involved in the investigation of strong differential subordinations and superordinations. The best dominants and the best subordinants are provided in the theorems that are proved for the strong differential subordinations and superordinations, respectively. For particular functions considered due to their remarkable geometric properties as best dominant or best subordinant, interesting corollaries are stated. The study is concluded by connecting the results obtained using the dual theories through sandwich-type theorems and corollaries.

Performance analysis of LogisticChain: A blockchain platform for maritime logistics

The application of blockchain and smart contracts has been widely acknowledged as essential in digitised logistics, offering improved traceability, transparency, and efficiency. However, concerns regarding performance and implementation limitations persist. To demonstrate the challenges regarding the performance and efficiency of blockchain in logistics use cases, this study presents a proof-of-concept model by leveraging the Hyperledger Fabric blockchain network to emulate the shipping logistics process and illustrate the automated and self-executing nature of smart contracts and transactions among various logistics participants by implementing RAFT consensus mechanism. Utilizing Hyperledger Caliper, this study evaluates the performance by systematically adjusting parameters including the number of clients, the number of concurrent transactions, and transaction rates per second. Then nuanced variations in latency, send rate, and throughput are examined. Preliminary findings indicate significant performance impacts related to client numbers and transaction rates per second. When exceeding the processing capacity, the average latency of transactions experiences an exponential increase due to limited resources. Furthermore, different types of operations are compared, with Read operations exhibiting the lowest latency and Update operations displaying the highest latency due to the complex computations and validations involved. Lastly, the latency measures of the LogisticChain network between fixed-rate and linear-rate controllers are compared, highlighting lower latency with fixed-rate controllers. This research contributes to the advancement of knowledge in this field by developing open-source codes specifically tailored for maritime logistics use cases.

Peritoneal Dialysis Catheter Complications after Insertion by Surgeons, Radiologists, or Nephrologists.

The Advancing American Kidney Health Initiative aims to increase rates of utilization of peritoneal dialysis (PD) in the United States. One of the first steps to PD is successful catheter placement, which can be performed by surgeons, interventional radiologists, or nephrologists. We examined the association between operator subspecialty and risk of needing a follow-up procedure in the first 90 days after initial PD catheter implantation. Overall, we found that 15.5% of catheters required revision, removal, or a second catheter placement within 90 days. The odds of requiring a follow-up procedure was 36% higher for interventional radiologists and 86% higher for interventional nephrologists compared with general surgeons. Further research is needed to understand how to optimize the function of catheters across different operator types. The US government has implemented incentives to increase the use of PD. Successful placement of PD catheters is an important step to increasing PD utilization rates. Our objective was to compare initial outcomes after PD catheter placement by different types of operators. We included PD-naïve patients insured by Medicare who had a PD catheter inserted between 2010 and 2019. We examined the association between specialty of the operator (general surgeon, vascular surgeon, interventional radiologist, or interventional nephrologist) and odds of needing a follow-up procedure, which we defined as catheter removal, replacement, or revision within 90 days of the initial procedure. Mixed logistic regression models clustered by operator were used to examine the association between operator type and outcomes. We included 46,973 patients treated by 5205 operators (71.1% general surgeons, 17.2% vascular surgeons, 9.7% interventional radiologists, 2.0% interventional nephrologists). 15.5% of patients required a follow-up procedure within 90 days of the initial insertion, of whom 2.9% had a second PD catheter implanted, 6.6% underwent PD catheter removal, and 5.9% had a PD catheter revision within 90 days of the initial insertion. In models adjusted for patient and operator characteristics, the odds of requiring a follow-up procedure within 90 days were highest for interventional nephrologists (HR, 1.86; 95% confidence interval [CI], 1.56 to 2.22) and interventional radiologists (odds ratio, 1.36; 95% CI, 1.17 to 1.58) followed by vascular surgeons (odds ratio, 1.06; 95% CI, 0.97 to 1.14) compared with general surgeons. The probability of needing a follow-up procedure after initial PD catheter placement varied by operator specialty and was higher for interventionalists and lowest for general surgeons.

Novel optimistic and pessimistic family of OWA operator with constant orness

In this paper, we present a novel representative of the existing family of ordered weighted aggregation (OWA) operators with constant orness (optimism/pessimism level). In other words, orness value of weight vectors generated using the proposed operator is independent of the total number of arguments. The proposed OWA operator is the operator that is based on the beta function. Two different types of operators have been proposed with respect to the level of optimism (“or-like”) and pessimism (“and-like”) each. In addition to that the proposed operators discussed here are bi-parametric and real-valued in nature in terms of their parameters. Hence, for a given orness value (optimism or pessimism), it provides an infinite number of weight vectors as the proposed operator's orness depends on the value of one of its parameters. These properties lead to lots of flexibility for the Decision-Maker (DM). Its comparison and advantages over other existing members of the OWA family with constant orness such as S-OWA operators have been elaborated. Also, the maximum Rényi entropy of the OWA (MRE-OWA) operator and the maximum Rényi entropy of the proposed OWA operator are compared and evaluated for a specified orness level. Several other important properties and applications of the family of the proposed operators have also been analyzed in detail.

Scattering properties of the nonlinear eigenvalue‐dependent Sturm‐Liouville equations with sign‐alternating weight and jump condition

This paper aims to investigate the scattering function and discrete spectrum of the impulsive Sturm‐Liouville type differential operator with a turning point and nonlinear eigenparameter‐dependent boundary condition. Using hyperbolic type representations of the fundamental solutions, the operator's discrete spectrum was constructed. We presented asymptotic equations for the fundamental solutions and the Jost function. Finally, we stated an example to demonstrate the paper's major points.

Policy Objective of Military Intervention and Public Attitudes: A Conjoint Experiment from US and Turkey

This paper scrutinizes the role of the principal policy objective of military intervention in conditioning citizen attitudes for the use of force. Extending the scope of analysis beyond the independent effects, it next assesses how the effects of two core variables of intervention, namely international organizations’ approval of the operation and the regime type of the target country, vary for interventions with differing mandates. The results of the conjoint experiment in two dissimilar cases, the US and Turkey, show that despite substantial changes in relative support for different types of operations, policy objective is still a highly potent determinant of individual attitudes. The results also concur that compared to foreign policy restraint and humanitarian missions, individuals are more sensitive to international organizations’ endorsements of the use of force for peace and internal political change operations. Finally, individuals are significantly disapproving of operations that seek internal political changes in democratic targets, though in contrast to the democratic peace theory, for other types of interventions, they are indifferent to the regime type of the opponent.

A Study Of Predicting Arrival Patterns Of Airport Passengers To The Counters On The Basis Of International Terminal

AI-based passenger arrival predictions to the processing points are essential to ensure efficient management of many intertwined operational processes in the airport ecosystem. For example, to be able to analyze the number of ground service personnel that will be required in the following hours, days in different parts of the airport and for different types of operations, it is essential to predict how many passengers will come to the airport in the following time zones. Moreover, density-driven intelligent energy management and dynamic price offering options in different services could only be generated with accurate passenger arrival predictions. Passenger arrivals can be detected with various technologies such as computer vision, IoT, lidar, and radar. However, passenger boarding pass printing event messages from the CUPPS solution, which is implemented in İzmir Adnan Menderes Airport International Terminal, is used as the data source in this study. Also, Linear regression, FEDOT, LSTM, and hybrid methods are configured and compared to predict passenger arrival counts to the counters of the international terminal in the specified time slots.

Stateful InREC: Stateful In-Network Real Number Computation With Recursive Functions

The current generation of Reconfigurable Match-Action Tables switches are highly programmable, able to support stateful operations and pipeline specifications using languages like P4. Nevertheless, these switches do not offer primitives to support real-valued operations on the data plane, thus requiring support from external servers or middle boxes to perform advanced operations. We introduce Stateful InREC, a system that extends the capabilities of programmable switches to support in-network real-valued operations using the IEEE half-precision floating point representation. Stateful InREC relies on decomposing real-valued functions into lookup tables taking into account the RMT model constraints to reach the right trade-off between accuracy and resource usage. It also supports state management for the computation of recursive function over time series. Stateful InREC prototype on Barefoot Tofino switches demonstrates the efficiency of Stateful InREC for in-network computation of different types of operations and its application for in-network logistic regression models used for classification problems. We also demonstrate the use of Stateful InREC to implement an ARIMA model on a Tofino switch for DDoS detection. Our evaluation of Stateful InREC shows that it is possible to implement complex in-network applications with high accuracy and low latency.