Urgent Jobs Research Articles

Preemptive Parallel Job Scheduling for Heterogeneous Systems Supporting Urgent Computing

Dedicated infrastructures are commonly used for urgent computations. However, using dedicated resources is not always affordable due to budget constraints. As a result, utilizing shared infrastructures becomes an alternative solution for urgent computations. Since the infrastructures are meant to serve many users, the urgent jobs may arrive when regular jobs are using the necessary resources. In such a case, it is necessary to preempt the regular jobs so that urgent jobs can be executed immediately. Most conventional methods for job scheduling have focused on reducing the response times and waiting times of all jobs. However, these methods can delay urgent jobs and hinder them from being completed within a stipulated deadline. Furthermore, in heterogeneous systems with coprocessors, preemption becomes more difficult because coprocessors rely on several system software functionalities provided by the host processor. In this paper, we propose a parallel job scheduling method to effectively use shared heterogeneous systems for urgent computations. Our method employs an in-memory process swapping mechanism to preempt jobs running on the coprocessor devices. The results of our simulations show that our method can achieve a significant reduction in the response time and slowdown of regular jobs without substantial delays of urgent jobs.

Realtime production scheduling and control systems in smart industry

For a production system, 'scheduling' aims to find out which machine/worker processes which job at what time to produce the best result for user-set objectives, such as minimising the total cost. Finding the optimal solution to a large scheduling problem, however, is extremely time consuming due to the high complexity. To reduce this time to one instance, Dr Wei Weng, from the Institute of Liberal Arts and Science, Kanazawa University in Japan, is leading research projects on developing online scheduling and control systems that provide near-optimal solutions in real time, even for large production systems. In her system, a large scheduling problem will be solved as distributed small problems and information of jobs and machines is collected online to provide results instantly. This will bring two big changes: 1. Large scheduling problems, for which it tends to take days to reach the optimal solution, will be solved instantly by reaching near-optimal solutions; 2. Rescheduling, which is still difficult to be made in real time by optimization algorithms, will be completed instantly in case some urgent jobs arrive or some scheduled jobs need to be changed or cancelled during production. The projects have great potential in raising efficiency of scheduling and production control in future smart industry and enabling achieving lower costs, higher productivity and better customer service.

Actores de la economía: Inmigración venezolana, la informalidad y el desempleo en Lima Metropolitana

El desplazamiento de grupos de personas por motivos de mejoras de las condiciones de vida para su familia ha constituido el flujo migratorio constante desde las épocas bíblicas, que se han visto acentuadas en gran medida por situaciones beligerantes, caos socio político, como la presencia de gobiernos autoritarios que no velan por el respeto del estado de derecho o periodos de sequía y hambruna que han desencadenado en los más lamentables desplazamientos de personas en el mundo. Actualmente es el caso de los ciudadanos venezolanos, que abandonan su país de origen ante la situación de crisis en la que viven y buscan mejorar su calidad de vida otros estados como el Perú. El advenimiento de grupos migratorios trae como consecuencia social la ejecución de actividades laborales informales. Las oleadas de migrantes foráneos unidos a los grupos coetáneos a las principales ciudades del Perú como Lima, ha incrementado la necesidad imperiosa de obtener puestos de trabajo en circunstancias poco favorables para el empleado, incrementándose la informalidad y las actividades independientes. Asimismo, esta situación socio-demográfica, acarrea hacinamiento, inseguridad, incremento de violencia, deficiencia en los servicios de salud, vivienda y educación, y aumento de la pobreza, creando una enorme preocupación a las autoridades gubernamentales, quienes deben plantear y sustentar soluciones a corto, mediano y mediano plazo.
 Palabras clave: Migración, inmigración venezolana, informalidad laboral, desempleo.

긴급주문과 순서의존준비시간이 있는 흐름공정의 일정계획 휴리스틱 알고리즘 연구

긴급주문과 순서의존준비시간이 있는 흐름공정의 일정계획 휴리스틱 알고리즘 연구

Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm

Integrating energy savings into production efficiency is considered as one essential factor in modern industrial practice. A lot of research dealing with energy efficiency problems in the manufacturing process focuses solely on building a mathematical model within a static scenario. However, in the physical world shop scheduling problems are dynamic where unexpected events may lead to changes in the original schedule after the start time. This paper makes an investigation into minimizing the total tardiness, the total energy cost and the disruption to the original schedule in the job shop with new urgent arrival jobs. Because of the NP hardness of this problem, a dual heterogeneous island parallel genetic algorithm with the event driven strategy is developed. To reach a quick response in the dynamic scenario, the method we propose is made with a two-level parallelization where the lower level is appropriate for concurrent execution within GPUs or a multi-core CPU while codes from the two sides can be executed simultaneously at the upper level. In the end, numerical tests are implemented and display that the proposed approach can solve the problem efficiently. Meanwhile, the average results have been improved with a significant execution time decrease.

Impact on Customer Perceptions of Green Banking Process with Special Reference in Rajapalayam Taluk

The economic area has knowledgeable important improvements and interests in the ongoing past; the vast majority of the banks take green financial activities. The banks are embracing different natural practices in their everyday business activities for the natural worry to keep up the environmental equalisation. Hence, banking part assumes an urgent job in advancing naturally maintainable and socially dependable venture. Inside ecological effect of the financial area, for example, utilisation of vitality, paper and water is similarly low and clean. Condition the board in the financial business is viewed as liable to be chance administration. It expands the undertaking worth and brings down misfortune proportion as higher quality credit portfolio brings about higher profit. Banks may not be simply the polluters however they for the most part have a financial association with certain organisations/venture extend that are polluters or could be in future. This article fully study on impact on customer perceptions of green banking process with special reference in rajapalayam taluk.

Contemporary Management Accounting Practices and Managerial Performance Amongst the Malaysian Co-operatives Sector

Co-operatives in Malaysia have urgent jobs in creating business frameworks, and making it workable for the nation to join the worldwide co-operatives society and refined economies. Thus, top management in Malaysian cooperatives aggressively design and implement their strategic plan through strategic accounting procedures in leadership. The purpose of this research is to examine the association between the contemporary management accounting practices (MAP) and managerial performance in the Malaysian’ co-operative sector. Management team from the 100 leading co-operatives in Malaysia were the respondents. Descriptive on the adoption level and its relationship with the managerial performance has been analysed. The finding indicates the level of contemporary MAP is high and there is significant relationship between contemporary MAP and managerial performance among Malaysian Co-operatives. This research offers a exclusive details investigation of the contemporary MAP and an signal of upcoming trends.

Workshop Queue System Modification Through Multi Priority Strategy

This research focused on the modification of a queuing system in a workshop practice that repairs crankshafts using multi priority strategy. The random distribution of the inter arrival time of the crankshafts as well as the service time were statistically determined using Chi square goodness of fit test. The results obtained show that all the classes conform to Poisson distribution. For the non-preemptive priority, the mean waiting time in queue results for the first, second and third classes are 0.066, 0.09 and 0.224 day, respectively, while for the preemptive priority the three classes show 0.007, 0.036 and 0.258. Besides, the mean waiting time in queue for no priority system is 0.17 day. Arrivals that are of higher priority classes in preemptive priority systems enjoy huge improvement when compared with non-preemptive system. On the other hand, the improvement gained in higher priority classes has detrimental effect on the low priority class. Similar scenario plays out when the results of the mean waiting time in the system was analyzed. It is therefore advocated that priority strategy should be adopted for a system that may have urgent or semi-urgent jobs among the pool of jobs that needs repair to avoid possible losses arising from frequent reneging or balking of such jobs.

Two parallel identical machines scheduling to minimise the maximum inter-completion time

In many manufacturing and service systems, it is of great importance to generate processing schedules with strong response abilities to unexpected or urgent jobs. In this paper, we investigate the problem of scheduling jobs on two parallel identical machines. The objective is to minimise the maximum difference between any two consecutive completion times of jobs, i.e. to minimise the maximum inter-completion time. The processing of any job cannot be interrupted, and a smaller objective value of the processing schedule implies a faster response to an unexpected job that may arrive at any time point. The problem was introduced by Zheng, Pinedo, Lee, Liu, and Xu [2019. “Towards Robustness of Response Times: Minimising the Maximum Inter-completion Time on Parallel Machines.” International Journal of Production Research 57 (1): 182–199]. In this work, we first give a sufficient condition of feasible solutions with respect to the makespan constraint, and reveal several basic properties of any optimal solution. We then prove a theoretical lower bound of the objective value, and propose a time algorithm to compute the lower bound. An efficient heuristic algorithm is further constructed to solve the considered problem. Experimental results show that the proposed algorithm outperforms all the three heuristics introduced in Zheng, Pinedo, Lee, Liu, and Xu 2019.

Sentiment Analysis of Movie using Artificial Neural Network

Semantics is the investigation of the importance of phonetic expressions. For their need everybody is normally restless to realize other individuals’ surveys be that as it may, charitable measure of audits are accessible in every single page. We propose for computerized wistful examination of motion picture on the grounds that it’s extremely troublesome for an ordinary individual to seek in every single site to separate valuable audits and dynamic the importance out of the content. Regular Language Processing (NLP) and Text Analysis are utilized in Sentimental Analysis which recognizes the feelings in a given setting of content information. Preceding making accord on whether to watch a motion picture individuals request counsel. It would be astounding on the off chance that we had a robotized framework to give results dependent on the client’s audits. Conclusions communicated by the general population in their audits can be comprehended by utilizing a wistful examination of motion picture surveys. Thus, wistful examination assumes a urgent job in the everyday life. We propose to utilize Sentimental Classifier utilizing Artificial Neural Network (ANN) as our essence of the paper is to give data whether the motion picture is delicate or shocking

Work on Capital Asset and Inventory Analysis

Capital assets generally called unquestionable assets or property, plant and rigging, is a term used in speaking to assets and property that can just with noteworthy exertion be changed over into cash. This can be differentiated and current assets, for instance, cash or records, which are depicted commercial liquid assets. A great part of the time, simply generous assets are implied as fixed. In addition, a fixed/non-current resource can likewise be characterized as an advantage not legitimately offered to a company's shoppers/end-clients. Capital resources are intended for use for a long time. The estimation of these benefits diminishes with their utilization or with time or numerous different reasons. Stock is the most intemperate resources of an assembling organization. There is different stock control method, for example, Economic request amount, reorder point, security feed ABC investigation, XYZ examination and so on. Without a moment to spare stock control, interminable stock control and some more. Stock choices legitimately influence the estimation of expense of products sold and subsequently assume a urgent job in deciding the detailed profit of an organization. Accordingly, an intensive investigation of stock valuation and related records can give a premise to surveying the budgetary position of a firm.

Algorithms for a two‐machine flowshop problem with jobs of two classes

AbstractWe consider a problem of scheduling jobs of two classes of urgencies in a two‐machine flowshop with the objective of minimizing total tardiness of one class for urgent jobs and the maximum completion time of the other class for non‐urgent jobs. Urgent jobs are an important consideration in the real manufacturing systems, but it has not been studied due to the difficulty of the problem. In this research, a branch‐and‐bound (B&B) algorithm is proposed through developing lower bounds, dominance properties, and heuristic algorithms for obtaining an initial feasible solution. To evaluate the performance of the proposed algorithms, computational experiments on randomly generated instances are performed. Results of the experiments show that the suggested B&B algorithm can solve problems with up to 20 jobs in a reasonable amount of CPU time.

定量降雨模式预报精度比较及评定指标

定量降雨预报精度评定在国际上仍是一项亟待深入的研究工作，至今没有一个客观的统计指标或检验方法能单独地全面描述降水预报的可靠性。为给水文气象耦合洪水预报提供更多的参考信息，在现有降水预报检验方法的基础上，借鉴洪水预报中的精度评定方法，建立了一套检验评估降水预报精度的完整指标体系。选取清江流域为应用示范，采用建立的指标体系比较分析四种气象模式的降雨预报水平，结果表明，人工预报和ECMWF模式的降雨预报效果最好，其次为日本模式，WRF模式则相对较差。 The accuracy evaluation of quantitative rainfall prediction is still an urgent research job in the world. So far, there is no single index or test method can objectively and independently describe the reliability of rainfall forecast results. In order to provide more reference information for the hydrological and meteorological coupling forecast, a complete set of evaluation indexes for precipitation forecast was established by studying with the existing rainfall forecast accuracy assessment methods and the evaluation indexes used in flood prediction. The Qingjiang river basin was chosen as a case study to compare four different meteorological forecast models’ performance in rainfall forecast by using the established indexes. The results showed that the manual forecasting and the ECMWF model have the better effect on rainfall forecasting, followed by the Japanese model, while the WRF model is relatively poor.

A Variable Interval Rescheduling Strategy for Dynamic Flexible Job Shop Scheduling Problem by Improved Genetic Algorithm

In real-world manufacturing systems, production scheduling systems are often implemented under random or dynamic events like machine failure, unexpected processing times, stochastic arrival of the urgent orders, cancellation of the orders, and so on. These dynamic events will lead the initial scheduling scheme to be nonoptimal and/or infeasible. Hence, appropriate dynamic rescheduling approaches are needed to overcome the dynamic events. In this paper, we propose a dynamic rescheduling method based on variable interval rescheduling strategy (VIRS) to deal with the dynamic flexible job shop scheduling problem considering machine failure, urgent job arrival, and job damage as disruptions. On the other hand, an improved genetic algorithm (GA) is proposed for minimizing makespan. In our improved GA, a mix of random initialization population by combining initialization machine and initialization operation with random initialization is designed for generating high-quality initial population. In addition, the elitist strategy (ES) and improved population diversity strategy (IPDS) are used to avoid falling into the local optimal solution. Experimental results for static and several dynamic events in the FJSP show that our method is feasible and effective.

An efficient MapReduce scheduling scheme for processing large multimedia data

In this paper, we propose a scheduling scheme to minimize the deadline miss of jobs to which deadlines are assigned when processing large multimedia data such as video and image in MapReduce frameworks. The proposed scheme checks the satisfaction of data locality to process assigned jobs within a time limit and considers whether I/O load and deadline requirement are satisfied. If jobs are run in a node with excessive I/O load, multimedia data from the replica node can be utilized to improve a job task processing speed. If available nodes are not found due to expected job completion time exceeding the deadline, the job tasks in nodes whose deadlines are available are paused temporarily to shorten the job completion time. In addition, speculative tasks and hot data block replication are employed to prevent the overall deadline miss ratio from increasing due to the repetition of job pauses whose deadlines are available for the purpose of processing urgent jobs quickly. The speculative task is a technique for assigning the same job to other nodes redundantly and for taking the result from the node that completes the job first and then cancelling the other jobs assigned previously. To verify the superiority of the proposed scheme, a performance evaluation is conducted by comparing it with the existing scheme. The performance evaluation result showed that the proposed scheme reduced completion time by 13.8 % and improved the deadline success ratio by 11 % compared with those of the existing scheme on average.

Feature-based adaptive numerical control programming method for the environment of changing manufacturing resources

Manufacturing environment is always changing due to unexpected reasons, including urgent job insertion, unavailability of machine tools, and changes of production planning, which has imposed significant challenges for numerical control programming, as numerical control programs are always not available any more for changed manufacturing resources. Traditional numerical control programming mode cannot adapt to the new manufacturing environment, and this problem becomes especially pressing for large manufacturing enterprises with production characteristics of small batches and large varieties. In order to address this issue, a feature-based adaptive numerical control programming method for changing manufacturing environment is proposed. A framework including preprocess module and postprocess module is constructed, and the flexibility of the numerical control program is realized through the function separation of the two modules. A feature-based information model including geometric and process information is established for flexible numerical control program generation when manufacturing resources are changed. About 75% numerical control programming work which is manufacturing resource free is done by preprocess module, and the rest is done by postprocess module for changing manufacturing environment. The implementation of the prototype system for the numerical control programming of a typical aircraft structural part shows the feasibility of the proposed method.

A CHANGE OF PROFILE BASED ON LOCATION

In today’s world time management is a big task. There could be the possibility that we may forget to do some important and urgent jobs which could results in a negative way for us. Also we have a trend of using smart phones supporting different tools and applications which could make our life simple. Today devices and phones run on many different types of operating systems such as IOS, Android etc. The proposed study is based on android based devices such as smart phones and tablets running on the Android operating system, since Android is designed to be an open source OS it gives a wide opportunity to any developer to develop and try different applications on such devices. In the proposed system we will discuss about the application which provides the service of automatic profile changing based on the user’s location from one to other (e.g. from normal to work mode or vice versa). It uses internet connection and GPS services to learn about the user’s current location and accordingly it updates the profile.

Robotic assembly planning and control with enhanced adaptability through function blocks

Manufacturing companies today need to maintain a high level of flexibility and adaptability to deal with uncertainties on dynamic shop floors, including, e.g. cutting tool shortage, part supply interruption, urgent job insertion or delay and machine unavailability. Such uncertainties are characteristic in component assembly operations. Addressing the problem, we propose a new method using function blocks to achieve much improved adaptability in assembly planning and robot control. In this paper, we propose to use event-driven function blocks for robotic assembly, aiming to plan trajectory and execute assembly tasks in real time. It is envisioned that this approach will achieve better adaptability if applied to real-world applications.

Rescheduling of parallel machines with stochastic processing and setup times

This paper tackles rescheduling for the unrelated parallel machine problem with sequence dependent setup times and different rates of breakdowns or urgent jobs arrivals. The jobs’ processing and setup times are stochastic for better depiction of the real world. A new repair rule which will be referred to as Minimum Weighted Cmax Difference (MWCD) is developed and compared to existing algorithms using simulation.The rules are evaluated based on both schedule quality and stability. Design of Experiments and optimization were used with simulation to generate optimal values for MWCD's parameter. The results and analysis obtained from the computational experiments proved the superiority of the proposed repair rule MWCD over the other algorithms presented.

The possibility of Chineseness: Negotiating Chinese identity in Shun Li and the Poet and The Arrival of Wang

Abstract Discussions on Chinese identity in cinema have been usually undertaken by considering Chinese-language films directed by Chinese directors. However, the increasing relevance of transnational practices displacing the signs of Chineseness beyond the nation state has challenged previous theoretical paradigms. Pushing this argument a little further, how can we address Chineseness in non-Chinese films dealing with Chinese-related topics and characters? Two Italian films represent an interesting case in point. Io sono Li/Shun Li and the Poet (2011) by Andrea Segre narrates the friendship between a Chinese bartender and a local fisherman within the close environment of the Venetian Lagoon. L’arrivo di Wang/The Arrival of Wang (2011) by Antonio and Marco Manetti, is a sci-fi movie about an Italian Chinese-language interpreter who is assigned an urgent job: translating a mysterious Chinese-speaking ‘subject’ who turns out to be an extraterrestrial alien. By conducting close-readings of the two films, the article attempts to address multiple questions: what kind of Chineseness is articulated in these films? How is Chinese identity negotiated in the creative process? Is this Chineseness only an other-ized construct, or can it critically provide a relevant description of Chinese identity?