SALES FORECAST FOR AGGREGATE PLANNING: CASE STUDY OF AN INDUSTRIAL PRODUCTS COMPANY IN MEXICO

This case study presents the analysis through the use of sales estimation tools for planning demand for aggregate level as a finished product in a leading industrial products company in the market in Mexico. First, it aligned the demand plan and the supply plan, recommending the best execution scenario to increase operational efficiency and reduce the cost of operating the supply chain to increase the company's productivity and stay competitive. Then, after analysing the behaviour of the demand for selected products, the authors determined as the main affectation the inadequate precision of the method forecasting and the lack of an aggregate forecasting strategy that allows reducing the variation. Due to this, the most significant effort was concentrated on determining a better-forecasting model and the decision to aggregate the demand based on three relevant criteria: the demand pattern based on the Soft, Intermittent, Erratic or Irregular quadrant, the best method of the forecast for each product and the time in quarters. As a result, a reduction between 20% and 46% in the forecast variation can be obtained from the above.

Applying Task Scheduling For IOMT-Cloud Business Optimisation Using AI

The IoMT-cloud enables a surplus extent of customers to get disseminated, versatile, and virtualized gear just as programming structure over the Internet. The IoMT-cloud is one of the principal headway used recently, it grants customers to get cloud resources over the internet remotely. Hence, we need to complete a reasonable task scheduling estimation to tolerably and viably meet these requests. The scheduling of task issue is perhaps the most essential issue in the IoMT-cloud since cloud execution depends prevalently upon it. Capable task scheduling administration should meet customer's requirements and improve the resources used to overhaul the introduction of the IoMT-cloud framework. To deal with this issue, in this investigation, we attempt to show the two most notable static and one dynamic task scheduling execution separately, short job first (SJF), first come first serve (FCFS), and round-robin (RR). Likewise, it was advanced using the AI technique known as genetic algorithm (GA). The CloudSim simulation framework is used to measure their impact on total execution time (TET), algorithm complexity, throughput, resource utilization, total waiting time (TWT), availability of assets, total finish time (TFT), cost, and resource utilization. The model proposed is to improve the viability of task scheduling for the IoMT-cloud stage with the best execution rate of 32.47ms. The exploratory results show that GA cuts down the cost of planning and reduces the total time, which is a convincing computation for the IoMT-cloud task scheduling.

4SpecID: Reference DNA Libraries Auditing and Annotation System for Forensic Applications

Forensic genetics is a fast-growing field that frequently requires DNA-based taxonomy, namely, when evidence are parts of specimens, often highly processed in food, potions, or ointments. Reference DNA-sequences libraries, such as BOLD or GenBank, are imperative tools for taxonomic assignment, particularly when morphology is inadequate for classification. The auditing and curation of these datasets require reliable mechanisms, preferably with automated data preprocessing. Software tools were developed to grade these datasets considering as primary criterion the number of records, which is not compliant with forensic standards, where the priority is validation from independent sources. Moreover, 4SpecID is an efficient and freely available software tool developed to audit and annotate reference libraries, specifically designed for forensic applications. Its intuitive user-friendly interface virtually accesses any database and includes specific data mining functions tuned for the widespread BOLD repositories. The built tool was evaluated in laptop MacBook and a dual-Xeon server with a large BOLD dataset (Culicidae, 36,115 records), and the best execution time to grade the dataset on the laptop was 0.28 s. Datasets of Bovidae and Felidae families were used to evaluate the quality of the tool and the relevance of independent sources validation.

Time to Reduce Complexity in a Data-Driven Regulatory Agenda – Perspectives on the MiFID II Best Execution Regime

The revised Markets in Financial Instruments Directive and Regulation (the MiFID II regime)See Directive 2014/65/EU (MiFID II) and Regulation (EU) 600/2014 (MiFIR). is one of the most comprehensive reforms of market structural and investor protection regimes the world has yet seen. The MiFID II regime will affect the European – and likely the global – market structure for years to come. Based on relevant perspectives from the revised best execution regime under MiFID II, this article suggest that it is time to reduce complexity. It is argued that unless a sufficient degree of horizontal and vertical integration of the best execution regulation takes place, the policy objectives cannot be reached. Further, it is argued that the significant data exercise that comes with the new rules only serves end-investors if a sufficient level of data consistency can be achieved. From this outset, the article emphasises the increased importance of data in today’s EU financial regulation. The article includes relevant comparisons to the equivalent US rules on best execution.

The best execution of the DuoStim strategy (double stimulation in the follicular and luteal phase of the same ovarian cycle) in patients who are poor ovarian responders

Background Patients found to be poor ovarian responders (POR) are a challenging patient population for any assisted reproduction technology. Despite attempts at various controlled ovarian stimulation schemes, reproductive outcomes in this patient population have not improved. In recent years, the DuoStim protocol (both follicular and luteal phase stimulation during the same menstrual cycle) has shown a potential for use in patients with POR. Methods This retrospective study reviewed the medical records of 304 women who were diagnosed as POR and underwent the DuoStim protocol. We compared follicular phase stimulation (FPS) data and luteal phase stimulation (LPS) data of the same patients. We also compared the effects of different trigger drugs including urine human chorionic gonadotropin (uHCG; 10,000 IU), recombinant human chorionic gonadotropin (rHCG; 250 μg), and gonadotropin-releasing hormone agonist (GnRH-a; 0.2 mg) at the FPS and LPS stages. Results POR undergoing the DuoStim protocol resulted in a significantly higher number of oocytes retrieved, normal fertilised oocytes, cleaved embryos, cryopreserved embryos, and good quality embryos at the LPS stage than at the FPS stage. Trigger drugs at the FPS stage did not affect the FPS stage data. Regardless of the stage, rHCG and GnRH-a yielded significantly more cryopreserved embryos and good quality embryos than uHCG. Conclusion The use of GnRH-a or rHCG as the trigger drug may be better than uHCG in both the FPS and LPS stages for POR undergoing the DuoStim protocol. This will increase the number of good quality embryos at the LPS stage. We found that the LPS stage results in more oocytes (and therefore more embryos) than the FPS stage.

A Systematic Access Through Machine Learning Methods For Expectation In Malady Related Qualities

There are Many learning strategies that are been identified with distinguish infection based related qualities. At the early, they as a rule moved toward this issue as a parallel arrangement, where preparing set is involved examples. Examples developed sickness qualities, whereas negative examples are there mining which are not known to be connected with contaminations. This is the essential of the twofold deals based diagrams, since the negative arranging set ought to be true non-infection qualities; regardless, advancement of this set is on a very basic level unfeasible in biomedical inspects. Therefore, to reduce this delicacy, insightfully sensible social gathering based techniques have been proposed. For example, unary outline strategy subject to one-class SVM framework was proposed by grabbing from fundamentally positive models. Also, there mining set may contain cloud torment qualities; as such, semi-formed methodologies, for example, twofold semi-controlled & positive & unlabeled (PU) learning blueprints have been proposed. Specifically, PU learning frameworks, which increase from both known suffering qualities & there mining attributes, were appeared to beat others. In these examinations, information sources are commonly tended to by vectorial plan for cemented classifiers, while they are in bit frameworks for unary & PU learning ones. The bit based information blend is reasonable for information with various sorts & it has the majority of the stores of being uncalled for or the relationship subject to various information diagrams. In like manner, in this examination, we looked accumulating structures for the ailment quality figure dependent on vectorial delineation of tests. The spread outcome demonstrated that the unary strategy structure, which joins both thickness & class likelihood estimation approachs, accomplished the best execution, where as it is most recognizably stunning for the one-class SVM-based technique. fascinatingly, execution of a best twofold outline framework is in each rational sense misty with that of uneven SVM-based PU learning & twofold semidirected hoarding strategy they are altogether improved.

Smart Fast Motion Estimation Processors

This Paper displays an adaptable and versatile movement estimation processor fit for supporting the handling prerequisites for top notch (HD) video utilizing the H.264 Advanced Video Codec, which is appropriate for FPGA execution. This paper dependent on General Purpose processor plan for movement estimation process. Quick movement estimation calculation with full pursuit calculation and precious stone hunt calculation. Where the two calculations have been executed in a solitary processor. So client can powerfully pick as per best execution. A client can choose the alternative of video quality at run time. In contrast to most past work, our center is enhanced to execute all current quick square coordinating calculations, to coordinate or surpass the between casing expectation execution of full-seek approaches at the HD goals generally being used today. Different tale movement estimation designs have been proposed all through the writing for dealing with the high data transfer capacity imperative nature of Video Broadcasting. A High precision full pursuit fixed square inquiry calculation is used to lessen the general transmission capacity and power prerequisite for transmitting live video arrangements. Despite the fact that full hunt guarantees high exactness, it tradeoffs its calculation time for precision. So the precision advantage is emphatically obscured by working velocity. To supplant the Full inquiry calculation another Modified Diamond seek calculation has been proposed with best precision and streamlined movement estimation length. Execution assessment of FBS Full hunt and Diamond look will be thought about for future investigation