Client Necessities Research Articles

Snake swarm optimization‐based deep reinforcement learning for resource allocation in edge computing environment

SummaryMobile edge computing has become popular in the past few years as a means of creating computing resources close to end‐user nodes at the network edge. Nodes—end users—demand work offloading to improve service utilization. Furthermore, when the number of users in mobile edge computing increases, the minimal resources deployed at the edge become a problem. Develop the idea of reinforcement learning using a metaheuristic technique intended to achieve effective resource allocation and resolve offloading issues to handle this issue. The ideal way to manage the implementation of mobile edge computing with a cognitive agent's help is to request compensation for all client necessities. To complete the infrastructure type for the Internet of Things (IoT), the operator information is combined with its distinctive methodology. Neural caching during task execution is provided by reinforcement learning based on snake swarm optimization (SSO). Neural caching during task execution is provided by reinforcement learning based on SSO. In the process of creating the cost mapping table and incentive factor‐based optimal resource allocation, this suggested method is applied to a contract with effective resource allocation among the end manipulators. Using performance metrics like delivery ratio, energy consumption, throughput, and delay, the suggested approach is put into practice and examined. It is also contrasted with traditional methods like Gray Wolf Optimization (GWO) ant colony optimization (ACO) and genetic algorithms (GA).

Web Personalization with Usage-Based Clustering

Information on World Wide Web has been filling in a remarkable way. This raises a serious worry on data over-burden difficulties for the clients. Recovering the most significant data from the web according to the client prerequisite has become hard on account of the enormous assortment of heterogeneous archives. One way to deal with beat this is to customize the data accessible on the Web as indicated by client necessities. This is called Web Personalization process that changes data/administrations conveyed by a Web to the necessities of every client or gathering of clients, taking their standards of conduct. Successive Sequential Patterns (FSPs) that are separated from Web Usage Data (WUD) are vital for dissecting and understanding clients' way of behaving to work on the nature of administrations presented by the World Wide Web (WWW). Client standards of conduct are expected to fabricate profiles of every client, it is made to utilize which Personalization of site.

ICT based best practices in the medical college libraries

Data and correspondence innovations (ICTs) are a different arrangement of mechanical devices and assets — utilized for making, putting away, overseeing and conveying data. For instructive purposes, ICTs can be utilized to help educating and learning just as exploration exercises including cooperative learning and inquisitive. One of the fundamental utilizations of the ICTs in advanced education is instructing and learning dependent on these new advances. The advancement of ICT has changed the conventional ideas of libraries, changed the idea of assortments and the necessities of clients. The structure of ICT incorporates PCs (Hardware and Software), Internet, Wireless innovation, Radio Frequency Identification (RFID) and utilization of different library assets in ICT for example digital books, E-diary, Library organization, Web OPACs, According to their requirements client can get to wide assortment of, for example, data assets text, sound, picture, Video and so forth.This paper includes traditional best practices, information technology based best practices like web page, institutional repositories, e-mail alerting services, extension services and general best practices also.

Soft Computing Based Metaheuristic Algorithms for Resource Management in Edge Computing Environment

In recent times, internet of things (IoT) applications on the cloud might not be the effective solution for every IoT scenario, particularly for time sensitive applications. A significant alternative to use is edge computing that resolves the problem of requiring high bandwidth by end devices. Edge computing is considered a method of forwarding the processing and communication resources in the cloud towards the edge. One of the considerations of the edge computing environment is resource management that involves resource scheduling, load balancing, task scheduling, and quality of service (QoS) to accomplish improved performance. With this motivation, this paper presents new soft computing based metaheuristic algorithms for resource scheduling (RS) in the edge computing environment. The SCBMA-RS model involves the hybridization of the Group Teaching Optimization Algorithm (GTOA) with rat swarm optimizer (RSO) algorithm for optimal resource allocation. The goal of the SCBMA-RS model is to identify and allocate resources to every incoming user request in such a way, that the client's necessities are satisfied with the minimum number of possible resources and optimal energy consumption. The problem is formulated based on the availability of VMs, task characteristics, and queue dynamics. The integration of GTOA and RSO algorithms assist to improve the allocation of resources among VMs in the data center. For experimental validation, a comprehensive set of simulations were performed using the CloudSim tool. The experimental results showcased the superior performance of the SCBMA-RS model interms of different measures.

PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center

<p>This research presents the results of a project called “PHYRON: Cognitive Computing for the creation of an innovative Intelligence Experience Center”, funded by the Basque Government (Economic Development, Sustainability and Environment Department). The project started in April 2019 and it will end in December 2021. Its main objective was to arrange an industrial research about cognitive computing. The main aim was the application of these systems for the development of an Intelligent Experience Center (IExC) to facilitate: i) enrichment of processes, products and services, in general client experiences, ii) automatic generation of technical predictions related to the product and the client behaviour through the exploitation of acquired knowledge, and iii) rationalization and automation of the processes that are involved in the after sale services both at technical and management level. The technological outcome presented in this paper is built using cognitive engines to enable learning from the client experience, and predictive models to anticipate client necessities.</p>

Preliminary development of a system to manipulate and monitoring a flexible manufacturing cell

Flexible Manufacturing Systems (FMS) are more commonly used in modern industry due to the benefits offered, such as: low-cost production, easy adaptation to elaborate different products according to the client necessities. A Flexible Manufacturing Cell (FMC) has two or three workstations; moreover, a system to control and manipulate de process. Industrial communications protocols are used to communicate workstations of a FMC, such as: Profibus, Ethernet, Device Net, etc. For the case of not have such protocol to communicate devices, due to an incompatibility between protocols, an alternative solution has been implemented in order to perform the same function. In this work, is presented the obtained results of a preliminary development of a system capable to manipulate and monitoring a flexible manufacturing cell using a communication card using a microcontroller to communicate a HAAS VF2 machining center and a FANUC robot M6iB. Moreover, an user interface is developed using LabVIEW with a web cam, which communicates with the microcontroller via RS-232, with the capability of monitoring the system via internet.

Security for Multi Cloud Using Server less Registering Approach

These days, in any application development, security for specific area has become crucial job in the service access environment. Since clients needs to utilize the unique services and resources in distributed computing environment. Here the security administrations and cloud portal frameworks have been highly advanced based on the client necessities. However cloud offers a lot of resources through the global service vendors and Multicloud technologies are rapidly in use, but still the cloud requires security enhancement. Applications become complex and have attacks when deployed on multiclouds .So it is very important factor to protect the data and resources from the hackers. In multiple cloud environments it is possible to control all the applications, user resources, secret information and other confidential user process level with the help of server less approach. The server less computing approach is a sort of Distributed computing execution model through which Cloud Service provider will allocate the resource to the client in a dynamic manner .This paper represents what is Multi cloud, advantages of Multicloud, Why Security issue with Multi cloud, How server less is different from monolith services and Security Approaches to multi cloud with server less computing.

Modelling Supply Chain Agility Antecedents Using Fuzzy DEMATEL

The era we live in today is full of uncertainty and varying customer demand. Firms are managing various difficulties including consistent change, shorter item life cycles, assorted client necessities and expanded vulnerability of interest. The purpose of this paper is to put forth the dimensions along which a firm can improve its performance and enhance its sustainability through supply chain agility. Supply chain agility is a key component of all successful firms today, be it in the services or in the manufacturing sector. It is believed that an agile company would tend to outshine its competitors, who have not adopted the agile principles. Seven dimensions of supply chain agility have been identified in this paper; and their effect on each other and on supply chain agility is assessed using Fuzzy DEMATEL. Four major factors- accessibility, alertness, flexibility and swiftness are identified as the key determinants of agility. It is found that the operational flexibility and analytical capabilities of a firm play the most crucial role in determining its agility as they had the maximum effect on the overall system. This study provides the management of companies with a clear guide map as to how they can improve their agility in today’s highly competitive market and how one dimension of supply chain agility has an impact on another dimension. Identification of dimensions of agility and evaluating their impact on each other as well as on supply chain agility using Fuzzy DEMATEL is a new and unique contribution to the concept of agility.

A Secure Communication and Location Privacy in WSN Using Grey Wolf Optimization

Wireless Computing draws in huge speculations, while simultaneously client necessities are ceaselessly expanded. Additionally development in remote advancements should stay up with aforementioned fields, so as to encourage the mix of imaginative administrations and applications in ordinary correspondence of the system. In the proposed framework we upgrade the security instrument for every sensor node by utilizing GWO(Grey wolf optimization) algorithm, and then the dummy sources are created to deceive the adversary and thus the original source is secured.

Mobile Phone Rating System with Feature Based Summarization

These days the item reviewed by the shoppers when getting the products is developing quickly. For a preferred product, the quantity of surveys can be vast. However once it involves new product the amount of reviews concerning the products is incredibly less. Thus individuals won't be a lot of interested to shop for that product. And it takes a great deal of your time for the new product to be standard among the already existing competitors. This can be a giant disadvantage for sellers of the new product. In this paper a new product rating approach for mathematically and graphically analyzing sales of same type of products from different manufactures and with most frequent combination of items is proposed. In product sales market there is no specific rating for product of same type and combination of product purchasing pattern. By this we retrieve the best combination of products with mathematically rating. The most objective is to assist the mobile company to enhance the feature of the mobile supported the customer’s feedback. This helps the new product sellers to achieve quality for the standard of the products. For this purpose an internet site has been created in such the way that there'll be a communication between the shoppers, the mobile company and also the administration. The purpose of product is to fulfill need of customer; based upon it there are different companies which manufacture products of same type, by analyzing it mathematically best one can be calculated thing such as customer satisfaction, product efficiency, popularity among them. . The feature primarily based report is shown in type of graph for every mobile device supported purchasers feedback. This proposal is helpful for the corporate commerce a brand new product and additionally helps them to create their product in line with client necessities and improve their business.

Challenges and Issues Involved in Adopting Lean and Bim in Construction

Lean Construction techniques have been introduced as an alternative way for conventional construction process in 1990’s.. It is described as a process of eliminating waste, increasing worth and value, and meeting or extraordinary client necessities and requirements. Waste reduction and customer value satisfaction are important factors to be considered in implementing construction projects. Building Information Modeling (BIM) is an intelligent model based process. BIM implementation seems to more advantageous in construction industry, for instance, it makes use of visualization technique of a product to facilitate architecture, engineering and construction professionals to effectively plan, design and manage infrastructure. Review of literature is administered and a survey is conducted to identify major issues involved in adopting Lean and BIM in construction sector. The present study depends mostly on the survey questionnaires from building professionals. Totally forty construction companies were selected for the questionnaire survey. The results obtained were analyzed in Statistical Package for Social Science (SPSS). The outcome of the study indicates that Lean and BIM implementation is necessary for allocation of resources, quality improvement and it enhances the sustainability of building and also it signifies that there is a shortage in lack of awareness, lack of framework and professionals.

CUTTING EDGE FUTURISTIC ENTERPRISE TECHNOLOGY FRAMEWORK FOR GLOBAL CASH LOGISTICS INDUSTRY USING IOT

AutomatedTeller Machine (ATM) is one broadly preferred choice for money withdrawal for consumers. Getting an ATM with required amount and section has constantly demonstrated to be an obstacle for consumers looking for money. One approach to counter this is to introduce progressively number of ATMs in region to guarantee the client's necessities are met. Anyway this demonstrates to be an overhead for bank utility as far as support and activity cost.Here in this paper we are involving IoT which can get noteworthy cost reserve funds in the board and tasks of ATMs. It is regularly observed ... By interfacing the sensors to a focal cloud-based revealing and the executives dashboard, banks can take preventive activities in time, inevitably sparing a great deal on vitality and upkeep costs. Modern money arranging, keen checking of ATM occurrences, and defense of the ATM impression, banks can cut their absolute expense of overseeing money by as much as 10 to 15 percent. The subsequent wave is re-appropriating. The objective is to accomplish critical cost decrease and improve money the executives tasks, with the scope covering branch, the values are compared with the database and the lock is allowed to open using a random One Time Password (OTP).

User Fulfilment Density Based Access to Intrusion Detection System Selection for WSN

Interruption Detection System (IDS) is a scheme safety device used in remote sensor systems (WSNs) to identify vulnerability abusses against attacks. The determination of IDS relies upon the WSN engineering and application. It is for the overseer to choose which IDS will be the best answer for the sensor arrange. There is never one arrangement that works for everything so overseer needs to analyse the capacities of every id alongside spending plan and learning. This article gives a weight-based way to deal with a client to deal with IDS assurance for WSN. We initially talk about client WSN IDS prerequisites and WSN IDS measurements, at that point for each WSN IDS necessity we coordinate the worry metric(s). Client records their WSN IDS prerequisites in an incomplete requesting from minimum to generally imperative. Client necessities are typically expressed in a positive shape or changed over to the positive frame. The main prerequisite (i.e. minimum imperative) is relegated the most reduced weight (e.g., one) While the remaining preconditions are assigned to expand weights to their comparative importance. Once weighted, each WSN IDS metric is assigned a weight equivalent to the entire weight of the necessities it adds to.WSN IDS measurements are masterminded in sliding request where metric with the most noteworthy weight is at the best. Proper WSN IDS apparatus might be chosen in the wake of coordinating the measurements weight and IDS highlights.

LOGISTIC PROVISION OF ECONOMIC DEVELOPMENT IN THE CONDITIONS OF GLOBALIZATION

In the conditions of modern market economy the role of logistic grows constantly. Speed of товаропотоків and volume of the attracted money depends on the effective planning and co-ordination of logistic chains of delivery. The logistic providing foresees a complex from the management of deliveries chains, which is used for satisfaction of necessities of clients by planning, control and introduction of the effective moving and storage of corresponding information, commodities and services from the place of production to the place of consumption. A management logistic helps companies to decrease expenses and promote the level of service of customers. As a rule, large retail dealers or producers own basic parts of the logistic network. Most companies, however, pass to this function the mediators. To the number of basic factors of rapid introduction of logistic in a world economy belong: - dynamic development of information technologies; - globalization of markets; - structural changes are in organization of business; - philosophy of management quality. Modern development of logistic status is characterized by a few tendencies: by computerization of logistic operations, expansion of containertraffics, minimization of charges, related to transporting, storage, repacking, custom registration; by the increase of demand on high-quality logistic services; diminishing of charges of producers due to optimization of logistic chains. Negative factors which influence on market of logistic services development in Ukraine is dissatisfaction by demand on a ware-house economy and a transport infrastructure is developed not enough, absence of skilled shots in logistic. Transformation of logistic infrastructure must be based on approach of the systems, which enables to ground strategy of her development and working out in detail in perspective and current plans. The basic result of optimization of logistic infrastructure must be minimization of charges on maintenance of materially-material streams. Perspective direction of further researches is a study of directions of optimization of logistic charges during organization of international transportations.

IDENTIFICATION OF THE FACTORS WHICH INFLUENCE EMPLOYEE COMMITMENT USING SYSTEMS THINKING

In our increasingly globalised economy, managing continuous change and remaining competitive has become a central issue for organisations in the industrial sector. Building a sustainable competitive advantage through effective decision making and the use of decision making tools has been widely studied [1,2]. The success of a company will be dependent on the skills of the workers, their capacity for learning, and adapting to special and evolving client necessities. Culture change via, communication and participation are the elements of change identified for engineering companies [3]. Thus, the main objective of this research is to understand the behaviour of commitment, the variables that influence it and the variables that are influenced by it. Commitment is considered a key factor due to its influence on performance. The methodology that was followed was based on the modelling methodology proposed by Sterman [4]. The first step was the problem definition, the second step was data collection. The purpose was to define the feedback loops of which the conceptual model (CM) is composed. Thirdly, conceptual model definition was developed. As a result, the final outcome that is achieved through this research is a conceptual model. The main function of this model is to facilitate the understanding of the behaviour of commitment through Systems Thinking tools. This research contributes to both Strategic Human Resource Management (SHRM) and Systems Thinking (ST) fields of study. The most notable contribution for ST is the fact of combining more than one input source (Literature + Group Model Building + prior research) for the conceptual model definition. The combination of these input sources for an ST model is not common in the scientific community. Moreover, the use of ST in SHRM is limited. Keywords: Commitment, Systems Thinking, Group Model Building, Strategic Human Resource Management.

Client-Awareness Resource Allotment and Job Scheduling in Heterogeneous Cloud by Using Social Group Optimization

Often cloud providers and cloud clients illustrate several constraints and thus allocation of resources in a heterogeneous cloud is a difficult job. As the traffic flow is quite subjective and Client necessities and applications size vary regularly, the major challenge and concern is to map the external job requests to available virtual machines. To reduce the gap among regularly altering client requirements and existing resources, Client-Awareness Allocation of Resources and Scheduling of jobs in cloud by using social group optimization (SGOCARAJS) is proposed. This algorithm is mainly split into two phases namely allocation of resources using SGO and shortest job first scheduling. The main aim is to map the jobs to virtual machines of cloud group to attain higher client satisfaction and lowest makespan time. Experiments are conducted on datasets and results are compared with present scheduling techniques. This model proved that this algorithm outrun the available algorithms based on concerned metrics.

Procedure of organization of the production for a company of drinks and sodas

The organization of the production constitutes a way of elevating the level of efficiency and effectiveness in the companies. The crisis economic world cup has resulted in a depression in the market of drinks. For what becomes necessary a better organization of the production in this sector to optimize the resources to use and to achieve the proposed objectives. Keeping in mind it this work intends as general objective: to design a procedure of organization of the production for this sector. As a result main of the work they are obtained: a procedure of the organization of the production focused in the client's necessities, being recognized in the organization the necessity of the integrity of all the parts of the system to achieve the effectiveness and the efficiency. This it was applied in the Company of Drinks and Sodas of Havana, Cuba with a remarkable impact in the sales.