Use of Incremental Model in Analyzing Bangladesh Education Policy 2010

Education is one of the essential components in developing a scholarly society capable of facing the demands and challenges of the twenty-first century. Education policy refers to the principles of government policymaking in the educational sector and the set of laws and norms that govern the operation of the educational system. It focuses on the effects of educational policy decisions and alternatives in the real world. It investigates the link between educational policy and practice. Even though our educational system has shortcomings, we are improving daily. Bangladesh is fully committed to the EFA goals, the Millennium Development Goals, and universal declarations. Every child between the ages of six and eighteen is entitled to free education under Article seventeen of the Bangladesh Constitution. As a result, the "National Education Policy 2010" was created using the incremental model of one of the most used public policy frameworks. The government makes incremental public policy decisions based on earlier actions. All of the model's functions are divided into distinct groups. Our educational system underwent significant changes over a long period. The incremental model's important aspects are time progression and social demand.

Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches

Nonnegative Tucker decomposition (NTD) is a robust method used for nonnegative multilinear feature extraction from nonnegative multi-way arrays. The standard version of NTD assumes that all of the observed data are accessible for batch processing. However, the data in many real-world applications are not static or are represented by a large number of multi-way samples that cannot be processing in one batch. To tackle this problem, a dynamic approach to NTD can be explored. In this study, we extend the standard model of NTD to an incremental or online version, assuming volatility of observed multi-way data along one mode. We propose two computational approaches for updating the factors in the incremental model: one is based on the recursive update model, and the other uses the concept of the block Kaczmarz method that belongs to coordinate descent methods. The experimental results performed on various datasets and streaming data demonstrate high efficiently of both algorithmic approaches, with respect to the baseline NTD methods.

Research on Path Planning and Tracking Control of Automatic Parking System

In this paper, we focus on the parking path planning and path tracking control under parallel parking conditions with automatic parking system as the research object. In order to solve the problem of discontinuity of curvature in the path planning of traditional arc-straight combined curve, a quintic polynomial is used to smooth the path. we design a path tracking controller based on the incremental model predictive control (MPC). The preview control based on pure tracking algorithm is used as the comparison algorithm for path tracking. The feasibility of the controller is verified by building a Simulink/CarSim co-simulation platform. In addition, the practicality of the parking controller is further verified by using the ROS intelligent car in the laboratory environment.

PENGENALAN TOKOH PAHLAWAN PADA UANG KERTAS EDISI 2014 BERBASIS AUGMENTED REALITY

History lessons in Indonesia are taught starting from Elementary School (SD) level. One of materials taught in elementary schools is a national hero figure who has greatly contributed to Indonesian nation. Several images of heroes were immortalized on Indonesian banknotes. The learning method that is carried out only with printed books and lectures tends to make students bored and quickly feel sleepy. In a site like this, interesting learning media is needed. This study seeks to build an android-based application using Augmented Reality technology, using banknotes as markers to produce 3D animation applications that speak about heroes and their historical backgrounds. This application development methodology uses an Incremental model which consists of 4 stages, namely: Analysis, design, code, and testing. Distributed questionnaires get results; Strongly Disagree = 0%, Disagree = 0%, Agree = 43%, and Strongly Agree = 57%. These results indicate that the overall system is running well and feasible to use

SUBSTANTIATION OF DEVELOPMENT STAGES OF THE INFORMATION SYSTEM FOR SUPPORT OF TESTS OF ARMAMAENT AND MILITARY EQUIPMENT OF THE ARMED FORCES OF UKRAINE

One of the important areas of support and development of the state's defense capabilities is to equip the armed forces with modern armament and military equipment (AME). In recent years, due to the situation in eastern Ukraine, there has been a significant increase in the pace of development and adoption of the newest models of AME. The process of harmonizing national standards with NATO standards also contributes to this. Naturally, it causes an increase in the need for timely and high-quality testing of AME samples. Accordingly, the task of improving the efficiency of all processes that accompany the testing of defense products is urgent. The article considers the problem of practical development of information system for support of tests of AME, the purpose of which is to automate information processes in the preparation and conduct of tests, which should reduce time and labor costs at all stages of testing. Based on the previously substantiated spiral model of software product development and the concept of building an information system for test support, a step-by-step plan for the implementation of the information system is proposed. The system of requirements to the prototype of the information system with limited functionality is formulated, according to which the rating estimation of need and possibility of prioritized realization of the basic functional modules of the information system is carried out. Based on the requirement of functional connectivity of the modules, the information system composition on the next turn of the life cycle spiral model is substantiated. The step-by-step approach during creation and provisioning of databases and data registers with information are considered. As the information system develops, the transition to an incremental model of software product development is not excluded. It is expected that the automation of information processes related to the planning and conducting of tests, as well as the processing of test results and preparation of reporting documentation can positively impact the overall efficiency of the organization and conducting of tests, as well as ensure the proper quality of results.

The Hybrid-Agile Design of Experiments Methodology

A DOE (Design of Experiments) is the laying out of a detailed experimental plan in advance of doing the experiment. Optimal DOEs maximize the amount of information that can be obtained for a given amount of experimental effort. The traditional DOE methodology is waterfall-type methodology implying a sequential and linear life-cycle process. The success of the experiment and usefulness of the results are highly dependent on the initial experimental setup and assumptions, and does not allow to go back and change something that was not well-documented or thought upon in the design stage. The fast-changing software development industry have made it understandable that the traditional waterfall methodology for developing systems, which follows similar patters to the traditional DOE, lacks the agility required for developing robust systems. These limitations have triggered the development of agile: a type of incremental model of software development based on principles that focuses more on flexible responses to change, instead of in-depth planning at the design stage. This paper proposes the hybrid-agile DOE methodology – a methodology that incorporates agile principles in traditional waterfall DOE methodologies – to design effective experimental layouts that allow for improvement during the experimental trial process. The methodology is applied to the natural ageing of adhesives tapes for building applications. This methodology can overcome traditional DOE, by adding agility in the whole process, especially in cases where the investigated products lack prior information and are characterised by large variability.

Rider Weed Deep Residual Network-Based Incremental Model for Text Classification Using Multidimensional Features and MapReduce Framework

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