Studies in Informatics and Control最新文献_第7页

Decentralised and Predictive System for Efficient Agri-Transactions Through Blockchain Technology 利用区块链技术实现高效农业交易的分散式预测系统

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202212

Remegius Praveen Sahayaraj, Muthurajkumar Sannasy

{"title":"Decentralised and Predictive System for Efficient Agri-Transactions Through Blockchain Technology","authors":"Remegius Praveen Sahayaraj, Muthurajkumar Sannasy","doi":"10.24846/v31i3y202212","DOIUrl":"https://doi.org/10.24846/v31i3y202212","url":null,"abstract":": Agriculture is an art, a craftsmanship and a scientific way of cultivation, growth and maintenance of edible crops and livestock. Majority of the current farming communities do not have prior knowledge of predicting the suitable crop for their soil and climatic conditions. Difficulty in raising the initial investment for crop cultivation is also one of the serious concerns of these communities. The difficulties faced by the civic agriculture, the insecure monetary transactions, along with the concerns related to the financial process have been identified and listed. The paper proposes a feasible solution by predicting the appropriate crops that could be grown in a specific scenario or environmental conditions using the machine-learning model of Support Vector Classifier and provides data related to quality yields using Fuzzy Decision Merkle Tree (FDMT) Regressor. Additionally, a transparent and secure fund transfer mechanism is provided using Ethereum blockchain-based technology. The proposed model implements a secured, translucent and tamper-resistant digital platform for the farming communities to host their products. A fortified consensus can be formed between the farmer and the investor bounded with a rating mechanism to build the credibility of both the farmer and the investor 7 based on the prior knowledge obtained in the Agri-market.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44611406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

B2S4B: A Platform for Smart City Business Processes Management and Adaptation B2S4B:智慧城市业务流程管理与适配平台

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202207

E. Ugljanin, D. Stojanović, E. Kajan, Z. Maamar

引用次数: 0

Gas Turbine Speed Monitoring Using a Generalized Predictive Adaptive Control Algorithm 基于广义预测自适应控制算法的燃气轮机转速监测

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202208

M. Alaoui, Obaid S. Alshammari, Abdelhamid IRATNI, A. Hafaifa, H. Jerbi

{"title":"Gas Turbine Speed Monitoring Using a Generalized Predictive Adaptive Control Algorithm","authors":"M. Alaoui, Obaid S. Alshammari, Abdelhamid IRATNI, A. Hafaifa, H. Jerbi","doi":"10.24846/v31i3y202208","DOIUrl":"https://doi.org/10.24846/v31i3y202208","url":null,"abstract":": The outstanding performance of modern gas turbine power plants requires an efficient and robust control strategy in order to recover the losses caused by the undesirable effects and the instabilities related to their operation. Also, these losses can be the cause of their unstable dynamic behaviour during full-load and partial load operation in the unplanned shutdown state. Hence, choosing the right control strategy can improve the operation of this type of machine by increasing its efficiency by up to 60%. This paper proposes the implementation of an innovative control strategy based on a generalized predictive adaptive control algorithm for monitoring the rotation speed of a Solar Titan 130 gas turbine, with the purpose of considering the constraints related to the nonlinear behavior of a turbine during large variations in machine load. The aim is to automatically adjust the parameters of the regulator of the turbine’s control loop in real time, with a recursive estimation of these parameters. Using the experimental input/output measurements in order to study its behavior, by integrating the predictive control estimators, ensures the superior performance of the analyzed gas turbine in terms of energy, efficiency and robustness regarding the parametric uncertainties and the variation of the turbine load.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42909666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Novel NSGA-II and SPEA2 Algorithms for Bi-Objective Inventory Optimization 用于双目标库存优化的NSGA-II和SPEA2新算法

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202203

I. Huseyinov, A. Bayrakdar

{"title":"Novel NSGA-II and SPEA2 Algorithms for Bi-Objective Inventory Optimization","authors":"I. Huseyinov, A. Bayrakdar","doi":"10.24846/v31i3y202203","DOIUrl":"https://doi.org/10.24846/v31i3y202203","url":null,"abstract":": Inventory optimization is a significant problem that is tied directly to financial gains. Its complexity has led to the development of new inventory models and optimization techniques. Evolutionary algorithms, particularly Pareto based evolutionary algorithms have been proven to be reliable for solving such problems. However, these evolutionary algorithms concentrate mostly on global search and have limited local search abilities. This leads to a poor convergence to the Pareto front. Among these algorithms the most studied are non-dominated sorting genetic algorithm-II and strength Pareto evolutionary algorithm2. This paper proposes a novel method that increases their convergence. The novelty is based on three techniques: Firstly, a time-based fitness assignment that favours solutions from previous generations is employed. Secondly, before the crossover process, the mating pool is updated with a positive bias towards better solutions. Finally, a more disruptive mutation scheme is used to prevent premature convergence. The novel algorithms were tested on a benchmark problem suite and two inventory problems. The performance of the algorithms is measured using hypervolume, generational distance and spacing metrics. The results illustrated by graphics indicate that the novel algorithms can obtain better convergence without increasing the time complexity.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49588627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Learning Analytics for Analyzing Students’ Behavior in Online Learning 利用学习分析法分析学生在线学习行为

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202206

Alin Zamfiroiu, R. Sharma, Diana Constantinescu, Madalina Pana, C. Toma

{"title":"Using Learning Analytics for Analyzing Students’ Behavior in Online Learning","authors":"Alin Zamfiroiu, R. Sharma, Diana Constantinescu, Madalina Pana, C. Toma","doi":"10.24846/v31i3y202206","DOIUrl":"https://doi.org/10.24846/v31i3y202206","url":null,"abstract":": Online education is one of the fastest emerging markets globally. There is a variety of tools, technologies and platforms, which augment learning in the online environments. Moodle and Sakai are probably the most popular open-source learning management systems (LMS) around the world, although there are alternative professional solutions such as TalentLMS or other platforms. Student interaction is one of the success factors of effective online teaching and learning. It is important to understand how students behave in an online environment. This provides good feedback to the syllabus developers and instructors, in order to examine what should be improved. The learning management systems provide a good way for analyzing learners’ behavior through log reports. The LMS records all kinds of interactions by all users. These data are processed using learning analytics, in order to obtain a good picture of the progress achieved by the students during the lectures and the laboratories and of the manner in which the professors manage the students’ learning curves. This paper explains the use of learning analytics in examining learners’ engagement, interaction and behavior in an online environment. The results revealed interesting findings on how the assessment should be organized, in order to find maximum learning attainment.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43321029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Application of the Generalized Regression Neural Network Model Based on Information Granulation for Short-Term Temperature Prediction 基于信息粒度的广义回归神经网络模型在短期温度预测中的应用

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202205

Wang Weiwei, D. Hao

引用次数: 1

An Advanced and Adaptive Tabu Search Algorithm for Dynamic Shared Parking Reservation and Allocation 一种用于动态共享停车预约和分配的高级自适应禁忌搜索算法

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202209

Shangbin Ning, Zhen-zhou Yuan, Zhenyu Han, Yang Yang

{"title":"An Advanced and Adaptive Tabu Search Algorithm for Dynamic Shared Parking Reservation and Allocation","authors":"Shangbin Ning, Zhen-zhou Yuan, Zhenyu Han, Yang Yang","doi":"10.24846/v31i3y202209","DOIUrl":"https://doi.org/10.24846/v31i3y202209","url":null,"abstract":": Inefficient utilization of existing parking resources is the main cause of parking difficulties, especially in metropolises. Shared parking allocation based on the online parking reservation system (PRS) is an effective way to deal with the inefficient utilization since it increases available parking resources through sharing and avoids blind search through reservation and allocation. This study focuses on the dynamic shared parking allocation problem based on PRS. A meta-heuristic algorithm, namely Advanced and Adaptive Tabu Search (AATS), was designed to cope with the real-time updates of parking demands and shared parking space and to achieve good allocation effect and high allocation speed. The proposed algorithm is based on advanced initialization with multi-factor sequencing and on adaptive neighborhood generation with bi-operator competition. The results of a three-day district-level experiment show that AATS achieves an allocation effect close to the exact algorithm, while having a significant superiority in allocation speed. The proposed AATS is practical to deal with realistic parking problems.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49513344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Multi-objective Model for the Location of the Emergency Facilities and the Selection of the Rescue Path Based on the Restoration of the Damaged Edges 基于受损边缘恢复的应急设施选址和救援路径选择的多目标模型

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202201

Yiying Wang, Zeshui Xu, F. Filip

{"title":"A Multi-objective Model for the Location of the Emergency Facilities and the Selection of the Rescue Path Based on the Restoration of the Damaged Edges","authors":"Yiying Wang, Zeshui Xu, F. Filip","doi":"10.24846/v31i3y202201","DOIUrl":"https://doi.org/10.24846/v31i3y202201","url":null,"abstract":": In this paper, an equivalence theorem is given, that is, in a weighted graph, the maximum value of the minimum edge weights of all minimal edge cut sets between two points is equal to the minimum value of the maximum edge weights of all paths between the two points. On this basis, the recovery time between two points in the network is defined from the perspective of the minimal edge cut set and the path, respectively, and the equivalence of the two definitions is shown. Two models are established to optimize the partial recovery of network functions, by taking the damaged road network after the earthquake as the scene, based on the definition of the network recovery time and the total network time. Model 1 includes three objective functions, which are the sum of the failure levels between all pairs of the demand points and the facilities serving them, the total network time and the total cost. Different priorities were set for solving these three objectives. Since such a hierarchical model is not conducive to the optimization of the objective functions with lower priorities, model 1 is modified appropriately. The sum of the failure levels is combined with the total network time into an integrated objective function by weighting, and the minimization of this new function is taken as the highest-priority objective and the minimization of the total cost is taken as the secondary-priority objective, in order to achieve the balance between the sum of the failure levels and the total network time. Thus, model 2 is obtained. A case study is used to test the two models and verify their effectiveness.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44808531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A New Method for Recognizing the Input Congestion in Data Envelopment Analysis 一种识别数据包络分析中输入阻塞的新方法

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-06-30 DOI: 10.24846/v31i2y202202

A. Salehi, F. Hosseinzadeh lotfi, Mohsen Rostamy Malkhalifeh

引用次数: 0

Integrated Information System for the Management of Activities in the Organization 管理本组织活动的综合信息系统

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-06-30 DOI: 10.24846/v31i2y202203

A. Udroiu, Ionut Sandu, M. Dumitrache

引用次数: 1