Internal Control Parameters Research Articles

A retrospective study of Quality Control of Fresh Frozen Plasma (FFP) using Factor VIII levels in Central Blood Transfusion Services Indonesian Red Cross

Background: According to a report from the Ministry of Health of the Republic of Indonesia, there are 470 blood transfusion units in Indonesia (235 units managed by PMI, 220 units managed by the government, four units of health services provinces, nine units of vertical hospital BTUs, two unit’s Indonesian police and army hospital) distributed in 38 provinces. With so many BTUs spread throughout Indonesia, each BTU must have the same quality standards to maintain and improve blood services. Therefore, it is necessary to carry out Quality Control of the blood component products produced. Quality control is critical in safely and effectively processing blood and other components. A quality concept comprises quality control, assurance, and management. The laboratory service should have a quality control system. Quality testing and monitoring of blood components for transfusion have led to manufacturing or development. Factor VIII levels are internal quality control parameters required for quality analysis of Fresh Frozen plasma (FFP). As per international standard guidelines and government national regulations (PMK 91/2015) for quality assurance of FFP, 1% of all the units prepared, or four units per month, are tested for stable coagulation factors, including Factor VIII levels. Objective: This study aims to evaluate factor VIII levels in each units FFP to ensure the availability of high-quality products with maximum therapeutic and minimal risk to recipients. Methods: The retrospective data were collected from Research and Development CBTS Indonesian Red Cross archives from 1 January 2019 to 30 April 2023. Out of total 284 units FFP collected from Blood Transfusion Unit Indonesian Red Cross from Sumatera Island (Lampung Province, Palembang City, Pekanbaru City), DKI Jakarta Province (CBTS IRC), Jawa Barat Province (Depok City, District of Bekasi City, District of Bogor City), Banten Province (Tangerang City, District South of Tangerang City), Government Hospital (Fatmawati Hospital BTU), Army Hospital (RSPAD Gatot Soebroto BTU) were tested Quality Control with semi-automated Sysmex CA50 and automated Sysmex CA620 to determine of factor VIII levels in each unit FFP. Results: A total of 284 units of FFP were tested, and mean factor VIII levels were 1,2 IU/mL with a range of 0,3 IU/mL-5,3 IU/mL, the normal range measure being > 0,7 IU/mL. Only 4,9 % (14/284) FFP units were inappropriate from the standard, while 95,1 % (270/284) FFP units could be accepted criteria standard. Conclusion: We conclude that there are still those below-standard Quality FFP products from blood transfusion units; it is necessary to increase the processing of blood components so that the coagulation factors are maintained. From taking blood collecting, transporting, and shipping, it is required to carry out quality control to produce products that meet national and international standards.

Comparison of the sigma metrics using the total error allowable algorithm with variation of bias source

Sigma Metrics, as a quality indicator, have been widely applied in clinical laboratories to assess the performance of analytical methods. Described in the document Clinical and Laboratory Standards Institute (CLSI) EP15- A3, the use of target values can be sourced from certified reference standards, survey materials from the Proficiency Testing (PT)/External Quality Assessment (EQA), materials used in inter-laboratory quality control programs and internal quality control materials with predetermined targets. This research aims to determine whether there is a difference in the sigma metrics between the bias derived from the manufacturer's target value and those from the peer group source in the External Quality Assurance Services (EQAS) program. The research methodology employed is descriptive comparative analysis, utilizing the results of material inspection data for 15 internal quality control parameters of Clinical Chemistry over a span of 2 years at the Pramita Laboratory in Bandung. The calculation of the sigma metrics commences with computing the coefficient of variation (CV), and the appropriate Total Error aalowable (Tea) sources for each parameter are determined beforehand using the TEa algorithm. The research findings indicate a difference between the sigma metrics derived from the manufacturer's target value and those from the EQAS-peer group target value, accounting for 33% or 10 parameters out of the total parameters with 2 levels of inspection are calculated on the sigma scale. However, in 67% or 20 parameters out of the total parameters, no such difference is observed. Bias associated with the target value from the manufacturer and the EQAS peer group shows no significant difference, suggesting that the laboratory can utilize pre-existing target values confidently.

Experimental investigation on battery thermal management strategy applying water retention material

The thermal issue of the quantities of electronics especially batteries during practical application has always been a big concern. To better satisfy their heat dissipation demands in engineering application, a novel half-passive strategy applying water retention material was proposed in this research. The thermal management assembly containing silica pad, copper foam and water-diatomite mixture is attached on the surface of the constant heating source. Primarily, the effectiveness of the assembly was validated through comparative experiments, which turned out to lengthen the effective time by 125.6 %. Then, the effects of both internal and external control parameters including ambient environment, heating power, properties of the water-diatomite mixture, PPI (pores per linear inch) of the copper foam and mesh number of the diatomite were discussed on the heat dissipation ability evaluated by the maximum temperature (Tmax) and effective time (t). At last, the cooling performance with different intermittent spray mode of the assembly during longtime operation was investigated. Results showed that when heated with 11.0 W, the spray began at 45 °C and the intervals were set as 5 min, 7.5 min, 10 min with the water content in each spray of 3.0 g, 4.0 g, 5.0 g respectively were the most reasonable schemes, and the CF-D (copper foam-diatomite) assembly managed to control the maximum temperature around 46.0 °C. This novel design provides a practical reference for the further optimization on the battery thermal management system, which focused more on the cooling efficiency and control flexibility.

МЕТОДИЧНІ ЗАСАДИ ОРГАНІЗАЦІЇ ОБЛІКОВОГО ТА КОНТРОЛЬНОГО ІНСТРУМЕНТАРІЮ В УПРАВЛІННІ ЛОГІСТИЧНИМИ ВИТРАТАМИ ПІДПРИЄМСТВА

The methods of accounting and management accounting of the logistics costs of the enterprise used in modern practice are critically evaluated from the point of view of the possibilities of providing, on their basis, the growing information needs in management processes. The limited effectiveness of the control function due to the insufficiency of the analytical section of the data generated within the accounting system is discussed. The research was conducted on the basis of the dialectical method of learning phenomena and processes and approaches to theoretical generalization. The methods of observation and comparison were used to discuss the completeness of accounting coverage of the composition of logistics costs, and scientific abstraction for the purpose of a generalized assessment of the compliance of the methodological principles of accounting and internal control parameters for the modern needs of managing this type of costs. It was established that the efficiency and objectivity of these management tools ensure the timely development of preventive measures at the enterprise to optimize logistics costs in terms of responsibility centers and structural units of the enterprise. The use of methodological principles implemented in practice for the organization of accounting and control tools in the management of logistics costs is considered in the study under the projection of productive use by structural units. information obtained on this basis. Separate aspects of improving the methodological principles of accounting and control in the logistics cost management system have been formulated. It is justified that the emphasis of the formation of operational information about logistics costs should be on the formation of a management accounting system that is adaptive to the specifics of the enterprise. It is argued that in this system it is necessary to deepen the grouping of logistics costs of modern enterprises by centers of responsibility and phases of logistics activity. It was determined that from the point of view of the trends of providing public information about the activities of enterprises (for example, various types of management reports), it becomes necessary to expand the methodology of accounting for logistics costs on balance accounts based on the regulatory introduction of additional sub-accounts to the chart of accounts.

Stability Region Analysis of Grid-Tied Voltage Sourced Converters Using Variable Operating Point Impedance Model

The interactions between voltage-sourced converters (VSCs) and the grid may trigger unstable electromagnetic oscillations. Impedance model-based analysis is widely utilized for investigating such emerging stability issues, mainly due to its capability to model black/gray-box VSC-based devices without complete knowledge of their internal control structures and parameters. It is well known that the characteristics of the triggered oscillation are determined by the operating conditions. However, most of the existing impedance-based methods are operating point specific, i.e., the impedance model of VSC-based devices has to be re-measured upon variations in the operating point. Thus, it is quite cumbersome and hectic to reconstruct the impedance model of a VSC-based device for all possible operating points and establish a stable or unstable region. This paper develops a novel method to determine the oscillatory stability region of a grid-tied VSC. First, a variable-operating point impedance model (VOPIM) of a VSC is derived. Next, the VOPIM is used to determine the frequency and damping of the oscillation modes for varying operating points. Finally, the oscillatory stability region is determined according to the damping of each oscillation mode. The accuracy of the oscillatory stability region and the effectiveness of the proposed method is verified through time-domain electromagnetic simulations.

Research on optimization of control parameters of gravity shaking table

When image processing and machine vision technology are used to extract features from the image of the ore belt of the shaking table, so as to realize the analysis of the processing indictors and mapping of control parameters. To realize the adaptive optimization of the multiple control parameters of the shaking table, it is necessary to have thorough access to the parameters of the internal and external properties of the gravity shaker, such as internal control parameters and external ore zone characteristics, as well as the processing indicators. In this study, information on the multi-scale characteristics of the zone is obtained through a visual experimental system, and the data-driven model of the separation process is constructed to characterize the relationship between the properties of the internal and external parameters of the shaking table, eventually, an adaptive optimization method of control parameters of the shaking table based on maximizing beneficiation efficiency is proposed. The research results show that the data from the geometric characteristics of the ore belts obtained from practical experiments all satisfy the statistical distribution requirements. In the three optimized support vector regression (SVR) models, the sparrow search algorithm optimized SVR (SSA-SVR) has the best comprehensive performance, which overcomes the limits of data samples under objective conditions and basically meets the existing industrial requirements. With these helps, the proposed optimization method has realized the continuous optimization of multiple control parameters of the shaking table, and the optimization results have a good guarantee.

A hybrid control technique for small signal stability analysis for microgrids under uncertainty

Distributed generators (DG) with inverter based on renewable sources are generally utilized in microgrids. Most of these sources work in droop control mode to effectively share the load. Higher droop is chosen on these systems to recover dynamic power sharing. This paper proposes a Hybrid Control Technique for Small Signal Stability Analysis for Microgrids under Uncertainty. The proposed topology is to recover the capacity of power system is used to restore the normal operating condition. The proposed hybrid technique is the combination of chaotic Henry gas solubility optimization (CHGSO) and recalling-enhanced recurrent neural network (RENNN) and therefore called the CHGSO-RENNN technique. The proposed technique is used to optimally predict the internal and external current loop control parameters in light and the variety of power and current parameters. The small stability is revealed through the working conditions of the whole machine. The overall stability of the small signal is investigated in a linear model so that both source and load are used to characterize the state matrix of the frame that is used for eigenvalue examination. The PI controller gain parameters are optimally tuned and the controller offers reliable frame operation. The proposed technique is performed on MATLAB/Simulink work platform.

Study on dynamic characteristics of flexible feed system by mechanical parameters

The dynamic characteristics of CNC feed system are determined by the dynamic characteristics of mechanical drive and control parameters. The dynamic characteristics of transmission link are closely related to the mechanical characteristic parameters. The designer must find the matching control parameters by analyzing the law of mechanical characteristic parameters and dynamic characteristics. In this paper, the relationship between inertia ratio, resonant frequency and velocity loop control gain is analyzed by using the established three-inertia system model, and the parameters are input into the system model for simulation. It provides a method for the designers of CNC machine tools to adjust the internal control parameters, which has important theoretical and practical value.

Research on Control Inertia and Stability of PMSG

With the large-scale development and application of offshore wind resources, the proportion of powered electronic equipment in power systems is increasing, which leads to the reduction of traditional mechanical inertia and system oscillation. To solve the above problems, this paper takes the grid connected converter of an offshore full power fan as the research object, deduces the “inertia” expression and physical significance of its inner and outer loop controller, and compares it with the mechanical inertia motion equation to obtain a unified mathematical expression. On this basis, combined with the control bandwidth and Rouse criterion, the discrimination method of system stability is proposed, and the correlation of the internal and external control parameters of the full power fan grid connected converter and its influence on the grid connected stability of offshore fans are explained according to the derived judgment expression. Finally, the correctness and scope of application of the theoretical analysis and judgment method are verified by PSCAD/EMTDC time-domain simulation software.

Reinforcement learning based EV energy management for integrated traction and cabin thermal management considering battery aging

Energy management in electric vehicles plays a significant role in both reducing energy consumption and limiting the rate of battery capacity degradation. The work summarized in this paper explores machine-learning techniques for electrified propulsion control in designing energy management (EM) controllers. The role of the EM is to coordinate delivery of multiple power requests from a modular battery of an electric vehicle (EV) to improve range and battery longevity. Reinforcement learning is adopted for integrated EV traction and HVAC controls. The EM acts as a supervisory controller augmenting the HVAC controls. It is designed to adjust internal HVAC control parameters based on current drive parameters to improve energy efficiency and battery state of health (SoH) without affecting driver demand and cabin comfort. An empirical battery aging model is incorporated into the problem formulation to address long-term battery capacity degradation. Reduced energy consumption and battery aging are demonstrated.

Reconfigurable spin-wave dynamics in two-dimensional quasiperiodic magnonic crystals

Active control of spin-wave properties is at the heart of on-chip reconfigurable magnonics, which promise development of energy efficient and miniaturized on-chip processing and communication devices in the GHz and sub-THz frequency range. Here, we demonstrated active control of spin-wave spectra in two-dimensional nanoscale antidot lattices arranged in shifted honeycomb and octagonal symmetries by varying the antidot diameter using broadband ferromagnetic resonance. Both these lattices exhibited stark variation in the spin-wave spectra with antidot diameter, besides the variation of the strength and orientation of bias magnetic field. With increasing diameter number of spin-wave modes gradually increased, and the position of mode splitting shifted to higher magnetic field due to ensuing increase in the demagnetizing field governing the spin-wave extension or localization in the lattices. The bias-field angle variation revealed higher-order rotational symmetry characteristic of quasi-periodic structure. Micromagnetic simulations qualitatively reproduced the experimental observations, and simulated spin-wave mode profiles revealed extended and standing spin-wave modes and their mutual conversion with bias-field angle in both lattices. The contrasting variation in the amplitude of rotational symmetry of spin-wave frequency with antidot diameter was interpreted by the variation of spin-wave mode profiles as well as the simulated internal magnetic field variation. Such efficient tunability of spin-wave properties with internal structure and external control parameters and higher-order rotational anisotropy in these atypical magnonic crystals will promote them for applications in on-chip reconfigurable magnonic devices.

Effects of a Perpendicularly Applied Magnetic Field on Harmonically Driven Quasi-two-dimensional Electron Gas: the Static Macrostates Symmetry Breaking and Generation of Even Harmonics in System Output

In this paper, we consider activation processes in a nonlinear metastable system based on a quasi-two-dimensional superlattice and study the dynamics of such a system, which is externally driven by a harmonic force in regimes of controlled instabilities. The spontaneous transverse electric field is considered as an order parameter and the forced violations of the order parameter are considered as a response of a system to periodic driving. The internal control parameters are the longitudinal applied electric field, the sample temperature and the magnetic field which is orthogonal to the superlattice plane. We investigate the cooperative effects of self-organization and high harmonic forcing in such a system from the viewpoint of catastrophe theory It is shown through numerical simulations that the additional magnetic field breaks the static macrostates symmetry and leads to generation of even harmonics; it also allows the control of the intensity of particular harmonics. The intensity of even harmonics demonstrates resonant-type nonmonotonic dependence on control parameters with the maxima at points close to critical points of the synergetic potential.

A model reference adaptive variable impedance control method for robot

As a simple and effective force tracking control method, impedance control is widely used in robot contact operations. The internal control parameters of traditional impedance control are constant and cannot be corrected in real time, which will lead to instability of control system or large force tracking error. Therefore, it is difficult to be applied to the occasions requiring higher force accuracy, such as robotic medical surgery, robotic space operation and so on. To solve this problem, this paper proposes a model reference adaptive variable impedance control method, which can realize force tracking control by adjusting internal impedance control parameters in real time and generating a reference trajectory at the same time. The simulation experiment proves that compared with the traditional impedance control method, this method has faster force tracking speed and smaller force tracking error. It is a better force tracking control method.

A Prognostic Model for Survival in Patients with Relapsed/Refractory Philadelphia Chromosome-Negative Acute Lymphoblastic Leukemia on the Combination of Low-Intensity Chemotherapy Plus Inotuzumab Ozogamicin with or without Blinatumomab

A Prognostic Model for Survival in Patients with Relapsed/Refractory Philadelphia Chromosome-Negative Acute Lymphoblastic Leukemia on the Combination of Low-Intensity Chemotherapy Plus Inotuzumab Ozogamicin with or without Blinatumomab

Standard operational procedure fund distribution system of zakat infaq and shodaqoh for zakat foundations

The management of zakat, infaq and shodaqoh funds is a very crucial activity for each zakat institution, in which two processes are carried out, namely the receipt and distribution of zakat infaq and shodaqoh. This article is the result of further research on the zakat receipt system that was previously published. This fund distribution system is the responsibility of all receipts of funds received so it is very crucial even compared to the ZIS acceptance system itself. This is because there is accountability for the receipt of funds received by the institution and must be submitted to certain parties in accordance with the provisions of Islamic Sharia. Problems that often occur in the process of fund distributing zakat, infaq shodaqoh is a entry data that accountability reports can not be made, the accountability report also can be made, besides that there is also an inaccurate target of the intended recipient distribution object. So that it is necessary to regulate how the right procedures in funds distributing of zakat infaq shodaqoh. The analytical method used by PIECES (Performances, Information, Economics, Control, Efficiency, Services). The standard operating procedure in the ZIS fund distribution system is made with internal control parameters (COSO).

Characteristic Analysis and Risk Assessment for Voltage–Frequency Coupled Transient Instability of Large-Scale Grid-Connected Renewable Energy Plants During LVRT

The voltage-frequency coupled transient stability and risk assessment issues of weak grid-connected large-scale renewable energy plants (REPs) during low voltage ride through (LVRT) have received little attention to date. The shape and mechanism of voltage-frequency coupled transient instability during LVRT are investigated in detail by the voltage-vector-triangle graphic (VTG) method utilized in this article, which avoids complex mathematical calculations. In addition, the margin of the transmission line's voltage angle (MTVA) is defined in this article and is then used to quantitatively assess the transient instability risk of the large-scale REPs during LVRT. Furthermore, the expressions of the MTVA are deduced under different conditions and the major influencing factors, which resulted in instability risk, are determined correspondingly. On this basis, the transient instability risk assessment standard of the large-scale REPs is built and the instability risk minimized scheduling strategy is proposed in this article, which does not change the internal control structure and parameters of the REPs during LVRT. Finally, both the correctness of the VTG method and the risk assessment standard, and the effectiveness of the scheduling strategy proposed in this article are validated by experiments and simulations.

Thermally and electrically controllable multiple high harmonics generation by harmonically driven quasi-two-dimensional electron gas

In this paper, we consider the activation processes in nonlinear meta-stable system based on a lateral (quasi-two-dimensional) superlattice and study the dynamics of such a system externally driven by a harmonic force. The internal control parameters are the longitudinal applied electric field and the sample temperature. The spontaneous transverse electric field is considered as an order parameter. The forced violations of order parameter are considered as a response of a system to periodic driving. We investigate the cooperative effects of self-organization and high harmonic forcing from the viewpoint of catastrophe theory and show the possibility of generation of third and higher odd harmonics in output signal that lead to distortion of its wave front. A higher harmonics detection strategy is further proposed and explained in detail by exploring the influences of system parameters on the response output of the system that are discussed through numerical simulations.

Mechanism of Deepening the Cooperation between Schools and Enterprises in Higher Vocational Education

In view of the problem that the cooperation between higher vocational schools and enterprises is not thorough enough, this paper demonstrates the necessity of cooperation between higher vocational schools and enterprises from the perspective of “construction of technical school” theory. Through the construction of higher vocational school-enterprise cooperative synergetic system model and analysis of its synergistic factors, this paper analyzes the internal order parameters and external control parameters related to school-enterprise cooperation. Under the concept of full-value chain, it uses enterprise colleges as the entry point to find out the improvement measures for deepening the cooperation between higher vocational schools and enterprises, and to promote the emergence of the synergistic effect of “1+1>2” in the cooperation between schools and enterprises.

Power Flow Analysis for Low-Voltage AC and DC Microgrids Considering Droop Control and Virtual Impedance

In the low-voltage (LV) ac microgrids (MGs), with a relatively high R/X ratio, virtual impedance is usually adopted to improve the performance of droop control applied to distributed generators (DGs). At the same time, LV dc MG using virtual impedance as droop control is emerging without adequate power flow studies. In this paper, power flow analyses for both ac and dc MGs are formulated and implemented. The mathematical models for both types of MGs considering the concept of virtual impedance are used to be in conformity with the practical control of the DGs. As a result, calculation accuracy is improved for both ac and dc MG power flow analyses, comparing with previous methods without considering virtual impedance. Case studies are conducted to verify the proposed power flow analyses in terms of convergence and accuracy. Investigation of the impact to the system of internal control parameters adopted by DGs is also conducted by using proposed method.

Spoofing detection goes noisy: An analysis of synthetic speech detection in the presence of additive noise

Automatic speaker verification (ASV) technology is recently finding its way to end-user applications for secure access to personal data, smart services or physical facilities. Similar to other biometric technologies, speaker verification is vulnerable to spoofing attacks where an attacker masquerades as a particular target speaker via impersonation, replay, text-to-speech (TTS) or voice conversion (VC) techniques to gain illegitimate access to the system. We focus on TTS and VC that represent the most flexible, high-end spoofing attacks. Most of the prior studies on synthesized or converted speech detection report their findings using high-quality clean recordings. Meanwhile, the performance of spoofing detectors in the presence of additive noise, an important consideration in practical ASV implementations, remains largely unknown. To this end, our study provides a comparative analysis of existing state-of-the-art, off-the-shelf synthetic speech detectors under additive noise contamination with a special focus on front-end processing that has been found critical. Our comparison includes eight acoustic feature sets, five related to spectral magnitude and three to spectral phase information. All the methods contain a number of internal control parameters. Except for feature post-processing steps (deltas and cepstral mean normalization) that we optimized for each method, we fix the internal control parameters to their default values based on literature, and compare all the variants using the exact same dimensionality and back-end system. In addition to the eight feature sets, we consider two alternative classifier back-ends: Gaussian mixture model (GMM) and i-vector, the latter with both cosine scoring and probabilistic linear discriminant analysis (PLDA) scoring. Our extensive analysis on the recent ASVspoof 2015 challenge provides new insights to the robustness of the spoofing detectors. Firstly, unlike in most other speech processing tasks, all the compared spoofing detectors break down even at relatively high signal-to-noise ratios (SNRs) and fail to generalize to noisy conditions even if performing excellently on clean data. This indicates both difficulty of the task, as well as potential to over-fit the methods easily. Secondly, speech enhancement pre-processing is not found helpful. Thirdly, GMM back-end generally outperforms the more involved i-vector back-end. Fourthly, concerning the compared features, the Mel-frequency cepstral coefficient (MFCC) and subband spectral centroid magnitude coefficient (SCMC) features perform the best on average though the winner method depends on SNR and noise type. Finally, a study with two score fusion strategies shows that combining different feature based systems improves recognition accuracy for known and unknown attacks in both clean and noisy conditions. In particular, simple score averaging fusion, as opposed to weighted fusion with logistic loss weight optimization, was found to work better, on average. For clean speech, it provides 88% and 28% relative improvements over the best standalone features for known and unknown spoofing techniques, respectively. If we consider the best score fusion of just two features, then RPS serves as a complementary agent to one of the magnitude features. To sum up, our study reveals a significant gap between the performance of state-of-the-art spoofing detectors between clean and noisy conditions.