Multi Resources Research Articles

Deep-Q-Network Based Energy Management of Multi Resources in Limited Power Micro-grid

Deep-Q-Network Based Energy Management of Multi Resources in Limited Power Micro-grid

Collective Organizational Engagement to Enhance Organizational Performance: Case of Indonesia Office Services

To increase the awareness on the role of employee engagement besides the individual analysis level and a lack of studies focused on the employee’s involvement at the level of organizational, the study aims at investigating the antecedents of COE as mediating variable to increase the organizational performance. The study was conducted for 6 months to enable a deep understanding and evaluation on organizational performance. A non-purposive sampling with purpose sampling technique deployed with multi resources respondent represented organizations method (top manager, middle managers, head department and selected employee). Data analyzed for 380 respondents with Structural Equation Modeling with AMOS 22. Statistical outputs described that the green work design, OCB Organizational Resources, and Innovative Concordance Culture highly considered as the antecedent of COE in developing the organizational performance. The findings also claimed that all hypotheses proposed are accepted. This study strengthens the relationship between the COE and HRM and Enbridge the gaps existed which is informed and extended the area of field research. In another hand, this research contributed on engagement in some ways, such as extending the study on the engagement in the level of organization and provided the solutions secondly, investigating the COE as a main mechanism of the most crucial human resources. This research also developed the antecedents of COE and also highlighted how the top management could strategically increase the performance based on the organizational resources and the leverage the collective engagement continuously pursuit the strategic organizational goals.

Multi Resources and Constraints Based Consolidation Model to Mitigate the Energy Extravagance

To design green clouds with optimal energy and resource consumption, the host consolidation process became the most prominent cloud management policy today. In case of a consolidation, the underloaded host's VMs are shifted to the other hosts to control the energy extravagance at a data center. The consolidation process is considered an NP-hard problem, as it depends on several computational resources (i.e., CPU, RAM, Bandwidth) and migration constraints. Although many former cloud researchers were focused on designing the consolidation process, the total consolidation process is based on single computational resource (i.e., CPU) utilization only. In a single resource-based consolidation model, only the selected resource utilization value is considered in decision-making and the other resource utilization values are simply discarded. The problems identified in single resource-based consolidation process are: (i) Ignoring the other prominent resources in consolidation (ii) unnecessary consolidation of hosts (iii) aggressive migrations and (iv) energy extravagance. To overcome the limitations involved with the single resource-based consolidation process, this study proposed the “Multi Resources and Constraints-based Consolidation Model (MRCCM)". The MRCCM is designed to solve the energy extravagance issues and aggressive migrations in host consolidation process. In MRCCM, multiple resources and resource constraints are considered while host consolidation for best target host selection and efficient resource management. Cloudsim toolkit with 800 HP-ProLiant host models and EC2 VM models are configured for experimental analysis. Proposed MRCCM model with MMT host selection method recorded the total 11570 migrations, 1853 shut_downs and 111.84 Kwh of energy consumption. Experimental results are proven that the MRCCM controlled the energy extravagance, unnecessary consolidations, and aggressive migrations at a considerable rate when compared to the other prominent consolidation models.

The response time analysis of queuing model in cloud computing environment

In this paper, the queuing theory is used to model cloud computing environment. The aim of this job is to analyze the response time as a measure of the Quality of Service (QoS) of computer services. In the cloud computing, multi resources need to be allocated simultaneously to multiple customers. When a customer requests for a service, if servers are busy, the requested job enters into the waiting line until a server completes its service. So, this may lead to a bottleneck in the network. By modeling cloud platforms by a queuing network, it can be easy to determine and to measure the QoS. The arrival rate and the service rate of processing servers are two main parameters that can affect the performance of the model; so, they are used to analyze the performance of the model. This paper proposes a queuing model which is applied at multiple servers in order to analyze the response time and also to improve the network performance and QoS effectively in a cloud computing environment.

Discursive Institutionalism as Framework of Analysis for Multi-Vector Power Relations in Organizing Political Parties

This article investigates power relations in Intra-Party Democracy in the study of organizing political parties. Intra-Party Democracy refers to the notion of formal political institutions, whereas the political process more often occurs informally, personally, multi-vector which involves multi actors, multi political resources and power relations no longer come from formal institutional sources but any direction and beyond the reach of formal institutions. Using the literature review method, this article enhances the explanation of Intra-Party Democracy by presenting the perspective of Discursive Institutionalism as an analytical framework that bridges multi-vector power relations that occur in organizing political parties. Discursive Institutionalism explores the actors’ discursive capabilities, namely coordinative discourse and communicative discourse in the discursive process in organizing political parties.

A two-step stochastic approach for operating rooms scheduling in multi-resource environment

Planning and scheduling of operating rooms (ORs) is important for hospitals to improve efficiency and achieve high quality of service. Due to significant uncertainty in surgery durations, scheduling of ORs can be very challenging. In this paper, surgical case scheduling problem with uncertain duration of surgeries in multi resource environment is investigated. We present a two-stage stochastic mixed-integer programming model, named SOS, with the objective of total ORs idle time and overtime. Also, in this paper a two-step approach is proposed for solving the model based on the L-shaped algorithm. Proposing the model in a multi resources environment with considering real-life limitations in academic hospitals and developing an approach for solving this stochastic model efficiently form the main contributions of this paper. The model is evaluated through several numerical experiments based on real data from Hasheminejad Kidney Center (HKC) in Iran. The solutions of SOS are compared with the deterministic solutions in several real instances. Numerical results show that SOS enjoys a better performance in 97% of the cases. Furthermore, the results of comparing with actual schedules applied in HKC reveal a notable reduction of OR idle time and over time which illustrate the efficiency of the proposed model in practice.

Small unmanned aerial vehicles for low-altitude remote sensing and its application progress in ecology.

Low-altitude unmanned aerial vehicles (UAV) remote sensing system overcomes the deficiencies of space and aerial remote sensing system in resolution, revisit period, cloud cover and cost, which provides a novel method for ecological research on mesoscale. This study introduced the composition of UAV remote sensing system, reviewed its applications in species, population, community and ecosystem ecology research. Challenges and opportunities of UAV ecology were identified to direct future research. The promising research area of UAV ecology includes the establishment of species morphology and spectral characteristic data base, species automatic identification, the revelation of relationship between spectral index and plant physiological processes, three-dimension monitoring of ecosystem, and the integration of remote sensing data from multi resources and multi scales. With the development of UAV platform, data transformation and sensors, UAV remote sensing technology will have wide application in ecology research.

Total span of farm work flow using Petri net with resource sharing

The aim of this work is to present the graphical model of farm work flow (FWF) problem with multi resources sharing, in which each operation may need more than one kind of resources. Using the Petri net concept with resource shared places we describe the farming process mathematically and graphically, and simulate the farming activation and resources assignment. The marking that is one of the properties of Petri nets facilitates mastering the farming progress and the status of the farmland and resources. Here, we apply a new concept deadlock-free Petri net model with resource sharing for minimising the total span of FWF, which is essential in agricultural production systems.

Research on the Management Strategy of the Last Level Cache Sharing Multi-Core Processor

Effective allocation of shared resources limited is a key problem for chip multiprocessors. As the processor core growth in the scale, multi thread for the shared resource limited system competition will become more intense, the performance of the system will also be more significant. In order to alleviate this problem, a fair and effective multi thread shared resources allocation scheduling algorithm is important. In all kinds of shared resources, the largest effect on the system performance is the shared cache and DRAM system. There are essential differences between the last level cache and a cache. The goal of a cache design is to provide fast data processor which requires high access speed. However, the object of the last level cache is to save data in the chip as much as possible, and the access speed requirements are not too high, it is more subject to the plate number of available transistors. Management level cache LRU strategy and its approximate algorithm are not applicable to the large capacity last level cache for traditional. It may cause destructive interference between threads, cache thrashing of stream media program lead, which will lead to a decline in the performance of processor. This paper focuses on the analysis of some hot problems of the last level cache management in the process of the large capacity of multi-core platform sharing, and puts forward the corresponding costs less.

Performance Measures of Queuing Models Using Cloud Computing

Cloud computing is an emerging technology to provide cost effective and to deliver the business application services in an adaptable way. In cloud computing, multi resources such as processing, bandwidth and storage, need to be allocated simultaneously to multiple users. It is becoming a development trend. The process of entering into the cloud is generally in the form of queue, so that each user need to wait until the current user is being served. In the system, each Cloud Computing User (CCU) requests Cloud computing Service Provider (CCSP) to use the resources, if CCU finds that the server is busy, CCU’s needs to enter into the waiting line until CCSP completes its service to the previous CCU . So this may lead to bottleneck in the network.. So to solve this problem, it is the work of CCSP’s to provide service to users with less waiting time , otherwise there is a chance that the user might be leaving from queue. CCSP’s can use multiple servers for reducing queue length and waiting This paper proposes a (M/M/C):(∞/FIFO) Queuing model which is applied at multiple servers in order to reduce waiting time, queue length, the network performance and QOS effectively in cloud computing environment.

A Study on Type of Smart Water Grid Pipeline System (multi waterloop system) and Application Method

In these days, water-loop system using multi water resources is lively discussed. This system distributes water effectively by using multi water resources instead of new water resources development. Multi water resources consist of surface water, rainwater, reclaimed water, seawater etc. This system would be distributing sanitary water stably, and able to economical maintain the related facilities. Also, this system has an emergency reaction ability when system is faced with accident. Especially, if multi water loop system is constructed by using the city’s securable water, nation’s water resources will be utilized effectively and water resources will be developed or reused on a small scale. The neces elements of water-loop system design are suggested in this research. The elements are the followings; Model of connected water-loop pipe networks, platform model of multi water resources loop system, range of technology, difference with existing systems and direction of construction.

Research On The Construction And Operation Mode Of College Student Entrepreneurship Alliance – Taking Hebei Province As An Example

AbstractThe construction and good operation of college student entrepreneurship organizations play an important role in the cultivation of college student entrepreneurship awareness and the improvement of college student entrepreneurship ability and success rate. This paper summarizes the factors restricting student entrepreneurship and proposes the suggestion of constructing student entrepreneurship alliance based on the analysis of the education and the current operation status of entrepreneurship organizations in Hebei Province. With the idea of “Promoting employment by entrepreneurship to realize social entrepreneurship” and the target of “Improving college student entrepreneurship success rate”, college student entrepreneurship alliance integrates multi social resources with the involvement of the government, society, enterprises and colleges. The operation of the alliance is divided into education stage, incubation stage and marketing operation stage. By the three stages’ cultivation to college students, it plays a positive role in aspects such as the participation of college education and social education, the promotion of entrepreneurship education development and college student entrepreneurship success rate and district economic development.

Fault Diagnosis of Low Speed, High-Loaded Bearing in Incomplete Rotating State

Signals of Low speed, high-loaded bearings in incomplete rotating state have some characteristics, such as nonstationary, varying load, multi vibration resources and no character frequency. Traditional frequency analytical method can’t solve the problem of fault diagnosis of this kind of bearings. Start with angle domain, a new fault diagnosis method based on characteristics of angle domain is put forward in this paper. And the new feature characteristics, touching frequency and parts contacting angle, are extracted from the vibration signals and rotation signals. This method is applied to diagnose the fault of Low speed, high-loaded bearings in incomplete rotating state. The diagnosis result proves this method is feasible and valid.

Overview of Study on Geo spatial Data Integration

Application of Geographical Information Systems (GIS) and multi resources geo spatial data promotes the appearance of digital geo spatial data integration in 1960's. But the weakness of study on geo spatial data integration hinders its own development. As a overview on geo spatial data integration, the paper focuses on fundamental concept, theory of data integration and problems in geo spatial data integration research currently. Geo spatial data is one kind of data used to represent, describe geographical processes and geographical phenomena. From the point view of geographical cognition, geo spatial data is abstraction of geographical entity controlled by geographical knowledge. Geo spatial data integration, as argued by many researchers, is the process during which multi resources and multi scale geo spatial data can be used in one uniform GIS software platform. The goals of geo spatial data integration, put simply, are creating seamless (including attribute seamless, temporal seamless and spatial seamless) dataset or database for certain application or general construction of geo spatial database. Study of geo spatial data integration mainly focus on data integration mechanism, error transfer, data quality controlling, multi scale, and representation of geo spatial data. Also many successful application of geo spatial data integration were carried out, but there are still many shortcomings of the fundamental researches on geo spatial data integration, such as integration principles, error propagation rules, multi scale data integration and data quality evaluation and controlling. The main problems about geo spatial data integration are short of general integration principles and rules, weak studying on geo spatial metadata, ignoring the applications of geo sciences principles and rules. Based on the analysis on geo spatial data integration, the authors list out some further research field on data integration such as network based data integration, data integration principles, metadata utility in data integration, geo sciences expert knowledge system and their application in geo spatial data integration.

The interaction of major resources and their influence on waiting times in a multi-stage restaurant

The purpose of this study was to examine the impact of major resources on multi-stage waiting times and their interactions on waiting times. The simulation study showed that each resource influenced waiting for different service stages and that interaction among the multi resources occurred. The results implied that the simultaneous increase in the levels of two resources had a synergistic effect on reducing waiting times for some stages. However, for some resources, the simultaneous increase in the resource levels did not help reduce waiting times when the increase in one resource type overwhelmed the other resource's function.

Resource Leveling Using Petrinet and Memetic Approach

The problem of scheduling activities dynamic for a project, within the available resources and adhering to precedence relationships is NP hard combinatorial. Traditional approaches and their extensions are limited in application for simultaneous scheduling of resources with leveling. Considering the need for improved modeling and scheduling techniques, this paper proposes the use of Petrinet based approach aided by memetic algorithm. Manufacturing projects involving either a single or multi resources can be optimally leveled and scheduled. The effectiveness of this approach is demonstrated with case studies.