The Implementation of Weighted Products in the Support System of Scholarship Acceptance Decisions at the MA AL-Falahiyah AL-Asytari

Scholarships are a form of appreciation given to individuals in order to continue their education to a higher level. The scholarship program held to ease the burden on students in pursuing a period of study. Especially in matters of cost. MA Al-Falahiyah Al-Asytari organizes a scholarship program for students based on criteria determined by the school. The need for a scholarship naming decision system is one of the core needs so that the selection of scholarship acceptance is more objective and practical. Development of a Decision Support System (DSS) using the Weighted Product model chosen because it was able to select the best alternatives from several alternatives and their advantages in weighting techniques. In designing the system using Unified Modeling Language (UML) and making applications using PHP and MySQL as a database. From the research the authors have described, it concluded that the weight product method could use as one method in developing a decision support system for scholarship recipients at the MA Al-Falahiyah Al-Asytari, by inputting data from students who submit scholarships to calculating grades based on criteria which specified.

Technology Elaboration of the Semi-finished Dough Product “Amygdalaceous” for Cheesecakes

Topicality. In this paper common nutritional status disorders of the present are analysed. Additionally, it is determined that one of the leading places among them is given to the zinc deficiency. The probable causes of zinc deficiency are offered, and the works of scientists dealing with this problem are analysed. It is defined that the development of zinc enriched technologies in desserts production for restaurant industry establishments, as well as semi-finished products for their yielding, is of urgent importance. Aim and methods. The aim of this study is to substantiate and elaborate the technology of the semi-finished dough product “Amygdalaceous” for cheesecakes, which should be characterized by a raised zinc content. To achieve the set aim, empirical, organoleptic, mathematical, statistical and computational research methods are used. Results. Recipes of the semi-finished dough product model compositions are substantiated and created, their physico-chemical parameters and organoleptic characteristics are studied. The technology of the semi-finished dough product “Amygdalaceous” for cheesecakes is elaborated, the technological scheme of its production is offered. The chemical content and energy value of the elaborated semi-finished product are analysed, as well as its integral score is calculated. Conclusions and discussion. It is determined that the model composition is characterised by the best indicators, which provides adding in the recipe the almond flour in amount 14.5 % mass. It is revealed that the elaborated product is characterised by the raised content of proteins, fats, zinc, potassium, calcium, magnesium and phosphorus, and the decreased content of carbohydrates. It is proved that the consumption of the elaborated semi-finished product can provide the daily requirement for zinc by 31,87 %, which corresponds to the mentioned above aim of the study. The scientific novelty of the obtained results lies in the development of technologies elaboration principles for meals, culinary and semi-finished products with a raised zinc content. The practical significance of the obtained results can be seen in the expansion of semi-finished products and desserts assortment for restaurant industry establishments, and in assistance of the Ukrainian nation enhancement.

A Model-Based Design Method for the Correlation between Customer Feedback and Technical Design Parameters in the Context of Systems Engineering

Nowadays considering trends such as digitalization, automated driving as well as electric mobility in products in automotive development processes is a major challenge, which has led to an enormous increase in the number of product functions of technical systems. However, the recognized processes in automotive development are strongly component-oriented and such processes partially support the development of product functions. In order to meet future trends and ensure long term customer satisfaction, a transfer from component-oriented to function-oriented development is necessary. Accordingly, a holistic concept can be useful that enables the integration of customer feedback into the early phase of product development in the context of function-orientation. However, the customer feedback evaluation and their mapping with technical subsystems have been considered mainly in the context of component-oriented development. In this contribution, a method is proposed, which is generated in the context of a product model of product generation engineering. Product Generation Engineering enables the structuring of the development process of a product generation and supports function-oriented development. The Product Model provides customer- oriented development of mechatronic products. The proposed method is achieved in the sense of model-based systems engineering and validated by the exemplarily application of a case study of a specific vehicle. Both the past and current product generations of the specific vehicle are taken into account in the development of the subsequent product generation.

Robust Controller Designing for an Air-Breathing Hypersonic Vehicle with an HOSVD-Based LPV Model

This paper focuses on the linear parameter varying (LPV) modeling and controller design for a flexible air-breathing hypersonic vehicle (AHV). Firstly, by selecting the measurable altitude and velocity as gain-scheduled variables, the original longitudinal nonlinear model for AHV is transformed into the LPV model via average gridding division, vertex trimming, Jacobian linearization, and multiple linear regression within the entire flight envelope. Secondly, using the tensor product model transformation method, the obtained LPV model is converted into the polytopic LPV model via high-order singular value decomposition (HOSVD). Third, the validity and applicability of the HOSVD-based LPV model are further demonstrated by designing a robust controller for command tracking control during maneuvering flight over a large envelope.

STEP-NC-Compliant Implementation to Support Mixed-Control Technologies Applied to Stone-Processing Machines Based on Industrial Automation Standards

STEP-NC (Standard for the Exchange of Product Model Data–Numerical Control) for metal milling and turning is not implemented by industrial computer numerical controllers. Solutions reported are prototypes based on post-processing in G-code. Moreover, minority machining processes, such as stone cutting, have not yet been contemplated in the STEP-NC standard. This article takes that sector as a use case. An extended STEP-NC model for circular saw stone-cutting operations is proposed, and a prototype automation implementation is developed to work with this extended model. This article shows how modern technological resources for coordinated axes control provided by many industrial controllers for the automation of general-purpose machines can speed up the processes of implementing STEP-NC numerical controllers. This article proposes a mixed and flexible approach for STEP-NC-based machine automation, where different strategies can coexist when it comes to executing STEP-NC machining files, so controllers do not need to implement the standard in an exhaustive way for all the possible features, but only at selected ones when convenient. This is demonstrated in a prototype implementation which is able to process STEP-NC product files with mixed-feature types: standard milling and non-standard sawblade features for stone processing.

A new implementation of OntoSTEP: Toward flexible generation of ontology and knowledge graphs of EXPRESS-driven data

Barbau et al. (2012) proposed OntoSTEP that translates the STandard for the Exchange of Product Model Data (STEP) schema and its instances to an ontology and knowledge graphs represented in the Web Ontology Language (OWL). OntoSTEP models can be integrated with any OWL models to enrich their semantics. However, the current implementation has several limitations, mainly in (1) supporting the latest ISO 10303 schemas and (2) generating various representation types depending on the purpose of use. We present an improved implementation of OntoSTEP to overcome these limitations. In this paper, we demonstrate that the new implementation can successfully translate STEP schemas and instances in a faster and more flexible way, thus furthering the adoption of the full capabilities of ISO 10303. By encoding STEP entities in OWL, we facilitate integration with other standards through knowledge graphs.

WND-Identifier: Automated and Efficient Identification of Wireless Network Devices

The widespread application of wireless communication technology brings great convenience to people, but security and privacy problems also arise. To assess and guarantee the security of wireless networks and user devices, discovering and identifying wireless devices become a foremost task. Currently, effective device identification is still a challenging issue, as device fingerprinting requires huge training datasets and is difficult to expand, and rule-based identification is not accurate and reliable enough. In this paper, we propose WND-Identifier, a universal and extensible framework for the identification of wireless devices, which can generate high-precision device labels (vendor, type, and product model) efficiently without user interaction. We first introduce the concept of device-info-related network protocols. WND-Identifier makes full use of the natural language features in such protocol messages and combines with the device description in the welcome page, thereby utilizing extraction rules to generate concrete device labels. Considering that the device information in the protocol messages may be incomplete or forged, we further take advantage of the application logic independence and stability of the device-info-related protocol, so as to build a multiprotocol text classification model, which maps the device to a known label. We conduct experiments in homes and public networks and present three application scenarios to verify the effectiveness of WND-Identifier.

Investigating the Health Effects of 3 Coexisting Tobacco-Related Products Using System Dynamics Population Modeling: An Italian Population Case Study

With the proliferation of tobacco products, there might be a need for more complex models than current two-product models. We have developed a three-product model able to represent interactions between three products in the marketplace. We also investigate if using several implementations of two-product models could provide sufficient information to assess 3 coexisting products. Italy is used as case-study with THPs and e-cigarettes as the products under investigation. We use transitions rates estimated for THPs in Japan and e-cigarettes in the USA to project what could happen if the Italian population were to behave as the Japanese for THP or USA for e-cigarettes. Results suggest that three-product models may be hindered by data availability while two product models could miss potential synergies between products. Both, THP and E-Cigarette scenarios, led to reduction in life-years lost although the Japanese THP scenario reductions were 3 times larger than the USA e-cigarette projections.

Quantitative Model for the Value of the 3D Product Model Use in Production Processes

Prior research has shown qualitatively that organizations can increase the value created in their production and assembly processes through the implementation of three-dimensional (3D) product models in those processes. This paper moves beyond qualitative value to develop and calibrate a quantitative model for the value of 3D product model use in production and assembly processes. The principal contributions of this research are development of the quantitative model and determination of the quantitative value of deploying the 3D product model in assembly and production processes; findings developed through interviews with industry experts in industrial and systems engineering to gather the model inputs, calculate the outputs, and then calibrate the model with those industry experts. These results are then compared against the qualitative value categories from prior research to determine the alignment in order and magnitude with the quantitative model results. This paper concludes with a recommendation of where both industry and academia focus future implementation efforts and research based upon the associated results demonstrated in both the qualitative and quantitative model on the value of 3D product model use in assembly and production processes.