scholarly journals PLANNING OF THE NUMBER OF TESTS WITH ZONAL ESTIMATES OF ARMAMENT AND MILITARY EQUIPMENT

Author(s):  
S. Korniienko ◽  
I. Korniienko ◽  
D. Kamak ◽  
S. Kaznachey ◽  
O. Zhyrna

Today, the problem of reducing the cost of resources and time during planning and conducting tests remains relevant. This problem is especially acute in qualified testing agencies, where testing prototypes at different stages of the life cycle is the main functional task. Automation of planning processes and optimization of testing processes will significantly reduce such costs and improve the overall quality of testing. The article considers the theoretical issues of forming quantitative plans for testing samples of armaments and military equipment (AME) in obtaining zonal estimates of stochastic parameters and characteristics. The need for zonal estimates arises to confirm the quality of the sample for a given stochastic characteristic in the range from the allowable probabilistic value to the maximum (minimum) possible. The authors propose an approach to obtaining zonal estimates of the parameters of the armament and military equipment test sample, which theoretically meet the requirements of a given accuracy and reliability. The approach is based on the use of a flexible test plan, which is terminated when statistical confirmation of the probabilistic value not worse than specified by the developer is obtained. Ensuring the quality of evaluation is carried out by virtue of the minimum required number of repetitions of the experiment and the balance of the number of successful to the total number of experiments. It is shown that a flexible test plan can significantly reduce the total number of experiments, which will to some extent reduce the resource and time costs of testing samples of armament and military equipment. For the practical application of the approach of obtaining zonal estimates of the AME sample quality, its formalization and algorithmics is required. It is assumed that the developed approach will be implemented in the form of a functional module as а part of the subsystem of automated planning and quality management of AME sample tests.

2021 ◽  
Vol 12 (3) ◽  
pp. 45-56
Author(s):  
Theyab Althiyabi ◽  
Rizwan Qureshi

In project management, the project scope is the base of significant project planning processes such as estimating the cost, schedule and building work breakdown structure. Poor project scope definition directly affects project cost and schedule. Accordingly, dealing with unrealistic scope definition of cost and schedule may lead to failing a project. Besides, changes in project scope have a negative and positive impact on project success. This paper aims to predefine the potential scope changes to keep the project scope on track and identify any weakness in scope definition at the early stages of a project. Enhancing project scope quality has a massive impact on the success of a project and it adds more control over project scope. A method is proposed to improve the quality of project scope and increase the efficiency of controlling scope changes. The proposed method will help to avoid scope creeping by defining a clear statement of work, increase the learning opportunities of the development team to optimize its processes, reducing the communication gap between the clients and development team and screen adjustments of new tasks. The proposed method is validated using a survey and the results are found encouraging.


Author(s):  
Nur Maimun ◽  
Jihan Natassa ◽  
Wen Via Trisna ◽  
Yeye Supriatin

The accuracy in administering the diagnosis code was the important matter for medical recorder, quality of data was the most important thing for health information management of medical recorder. This study aims to know the coder competency for accuracy and precision of using ICD 10 at X Hospital in Pekanbaru. This study was a qualitative method with case study implementation from five informan. The result show that medical personnel (doctor) have never received a training about coding, doctors writing that hard and difficult to read, failure for making diagnoses code or procedures, doctor used an usual abbreviations that are not standard, theres still an officer who are not understand about the nomenclature and mastering anatomy phatology, facilities and infrastructure were supported for accuracy and precision of the existing code. The errors of coding always happen because there is a human error. The accuracy and precision in coding very influence against the cost of INA CBGs, medical and the committee did most of the work in the case of severity level III, while medical record had a role in monitoring or evaluation of coding implementation. If there are resumes that is not clearly case mix team check file needed medical record the result the diagnoses or coding for conformity. Keywords: coder competency, accuracy and precision of coding, ICD 10


2017 ◽  
pp. 139-145
Author(s):  
R. I. Hamidullin ◽  
L. B. Senkevich

A study of the quality of the development of estimate documentation on the cost of construction at all stages of the implementation of large projects in the oil and gas industry is conducted. The main problems that arise in construction organizations are indicated. The analysis of the choice of the perfect methodology of mathematical modeling of the investigated business process for improving the activity of budget calculations, conducting quality assessment of estimates and criteria for automation of design estimates is performed.


2015 ◽  
Vol 6 (1) ◽  
pp. 50-57
Author(s):  
Rizqa Raaiqa Bintana ◽  
Putri Aisyiyah Rakhma Devi ◽  
Umi Laili Yuhana

The quality of the software can be measured by its return on investment. Factors which may affect the return on investment (ROI) is the tangible factors (such as the cost) dan intangible factors (such as the impact of software to the users or stakeholder). The factor of the software itself are assessed through reviewing, testing, process audit, and performance of software. This paper discusses the consideration of return on investment (ROI) assessment criteria derived from the software and its users. These criteria indicate that the approach may support a rational consideration of all relevant criteria when evaluating software, and shows examples of actual return on investment models. Conducted an analysis of the assessment criteria that affect the return on investment if these criteria have a disproportionate effort that resulted in a return on investment of a software decreased. Index Terms - Assessment criteria, Quality assurance, Return on Investment, Software product


1991 ◽  
Vol 24 (10) ◽  
pp. 269-276
Author(s):  
J. R. Lawrence ◽  
N. C. D. Craig

The public has ever-rising expectations for the environmental quality of the North Sea and hence of everreducing anthropogenic inputs; by implication society must be willing to accept the cost of reduced contamination. The chemical industry accepts that it has an important part to play in meeting these expectations, but it is essential that proper scientific consideration is given to the potential transfer of contamination from one medium to another before changes are made. A strategy for North Sea protection is put forward as a set of seven principles that must govern the management decisions that are made. Some areas of uncertainty are identified as important research targets. It is concluded that although there have been many improvements over the last two decades, there is more to be done. A systematic and less emotive approach is required to continue the improvement process.


2020 ◽  
pp. 61-73
Author(s):  
Yu. M. Tsygalov

The forced work of Russian universities remotely in the context of the pandemic (COVID-19) has generated a lot of discussion about the benefits of the new form of education. The first results were summed up and reports were presented, the materials of which showed that the main goal of online education — the prevention of the spread of infection, - has been achieved. Against this background, proposals and publications have appeared substantiating the effectiveness of the massive introduction of distance learning in Russia, including in higher education. However, the assessment of such training by the population and students in publications and in social networks was predominantly negative and showed that the number of emerging problems exceeds the possible benefits of the new educational technology. Based on the analysis of the materials of publications and personal experience of teaching online, the potential benefits and problems of distance learning in higher education in Russia are considered. It is proposed to consider the effects separately for the suppliers of new technology (government, universities) and consumers (students, teachers, society). It is substantiated that the massive introduction of online education allows not only to reduce the negative consequences of epidemics, but also to reduce budgetary funding for universities, optimize the age composition of teachers, and reduce the cost of maintaining educational buildings. However, there will be a leveling / averaging of the quality of education, and responsibility for the quality of training will shift from the state/universities to students. The critical shortcomings of online education are the low degree of readiness of the digital infrastructure, the lack of a mechanism for identifying and monitoring the work of students, information security problems, and the lack of trust in such training of the population. The massive use of online education creates a number of risks for the country, the most critical of which is the destruction of the higher education system and a drop in the effectiveness of personnel training. The consequences of this risk realization are not compensated by any possible budget savings.


Author(s):  
Osama Mahfooz ◽  
Mujtaba Memon ◽  
Asim Iftikhar

<span>A PLC is a digital computer used to automate electromechanical processes. This research is<span> based on automation of a water tank by using Siemens PLC. Automatic control of water tanks<span> can work continuously and can provide accurate quantity of water in less time. In such process<span> there is no need of labor so there is no human error. Without human error, the quality of product<span> is better and the cost of production would definitely decrease with no error in quantity required.<span> Water level sensing can be implemented in industrial plants, commercial use and even at home<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span>


2020 ◽  
Vol 114 (12) ◽  
pp. 1021-1034
Author(s):  
Natalia Hounsome ◽  
Mersha Kinfe ◽  
Maya Semrau ◽  
Oumer Ali ◽  
Abraham Tesfaye ◽  
...  

Abstract We conducted an implementation research study to integrate a holistic package of physical health, mental health and psychosocial care for podoconiosis, lymphatic filariasis and leprosy into routine healthcare in Gusha cluster, Guagusa Shikudad district, northwest Ethiopia. The healthcare package included training patients in lower limb hygiene and skin care and provision of shoes, hygiene supplies and medication. The implementation activities included training events, workshops, awareness raising, self-help groups, supportive supervision, staff secondments and advisory board meetings. The cost of implementing the care package in Gusha cluster, with a population of 30 558 people, was 802 655 Ethiopian birr (ETB) (£48 159) and the cost of delivering care to 235 participants was 204 388 ETB (£12 263), or 870 ETB (£52) per person. There was a 35% decrease in the mean disability scores (measured using the World Health Organization Disability Assessment Schedule 2.0) and a 45% improvement in the dermatology-specific quality of life (measured using the Dermatology Life Quality Index) at the 3-month follow-up compared with baseline. There were reductions in the number of days with symptoms, days off usual activities/work and days with reduced activity due to illness, all of which were statistically significant. Our pilot suggests that integration of the care package into routine healthcare in Ethiopia may be effective in improving health-related quality of life and disability and reducing time out of economic activity due to illness.


Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 353
Author(s):  
Kun-Cheng Ke ◽  
Ming-Shyan Huang

Conventional methods for assessing the quality of components mass produced using injection molding are expensive and time-consuming or involve imprecise statistical process control parameters. A suitable alternative would be to employ machine learning to classify the quality of parts by using quality indices and quality grading. In this study, we used a multilayer perceptron (MLP) neural network along with a few quality indices to accurately predict the quality of “qualified” and “unqualified” geometric shapes of a finished product. These quality indices, which exhibited a strong correlation with part quality, were extracted from pressure curves and input into the MLP model for learning and prediction. By filtering outliers from the input data and converting the measured quality into quality grades used as output data, we increased the prediction accuracy of the MLP model and classified the quality of finished parts into various quality levels. The MLP model may misjudge datapoints in the “to-be-confirmed” area, which is located between the “qualified” and “unqualified” areas. We classified the “to-be-confirmed” area, and only the quality of products in this area were evaluated further, which reduced the cost of quality control considerably. An integrated circuit tray was manufactured to experimentally demonstrate the feasibility of the proposed method.


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