EFFECTIVENESS OF WEB BASED E-LEARNING MEDIA ON INFORMATION AND COMMUNICATION TECHNOLOGY SUBJECT FOR IMPROVE ACHIEVEMENT STUDENTS OF GRADE X SMA NEGERI 1 KALASAN

This research purposed to know the comparative effectiveness of the use of web based E-Learning media in Information Technology and Communication subjects to improve learning achievement students of grade X SMA Negeri 1 Kalasan when compared with conventional learning in place at the school. The research method is quasi-experimental research method with two class sample XA and XB in SMA Negeri 1 Kalasan. The research method is used in this research was quasi-experimental research methods with a sample of research is the class XA and XB SMA Negeri 1 Kalasan. The research design was pretest-posttest control group design. The sampling technique is used was random sampling. Different test done to measure the difference in the effectiveness of web based E-Learning media and conventional learning media based on learning achievement of using Independent Sample t-test. Based on these results it can be concluded that the effectiveness of web based E-Learning media have an index of normalized gain is 0,54; effectiveness of conventional learning media have an index of normalized gain is 0,30 and improved learning achievement with web based E-Learning media is better than the improved learning achievement of conventional learning media while they in the same criteria. The criteria is in sufficient criteria. But if based on calculation of the gain, improvement learning achievement with based on the t test of the average value of learning achievement acquired thitung > ttabel (2,870> 1,672), as well as the significant value of P (0006) <α (0.05), thus Ho rejected and Ha accepted. It is proved that web based E-Learning media effectively to improve student learning achievement in the material Presentation Maker Software Class X SMA Negeri 1 Kalasan. Keywords: media, E-Learning, conventional learning, learning achievemen

Design and development of iRemote Terminal Unit (iRTU) for undervoltage and overvoltage fault

Power outages is always happened and its take a longer time for fault detection, isolation and restoration. Existing RTU is very expensive because it needs to be imported. This problem affects the manufacturing sectors and having an impact on residential areas. Therefore, the design and development of the iRTU is implemented to ensure the problem of power outages can be detected immediately and the TNB can take action quickly. The purpose of this research is to design an iRTU hardware circuit board, develop the iRTU using software algorithms, create the interfacing for monitoring process and integrate software and hardware together to make the iRTU as a complete system. In order to ensure the iRTU system achieve its objectives, the methodology uses consists of OrCAD software to design and develop the iRTU circuit board, MPLAB software to program the microcontroller-base, Visual Basic software to create the GUI interfacing for the monitoring system and XBee as a communication media to connect iR TU to the control unit in short distances. The findings of this research show that the problem of power outages can be detected quickly by iRTU in the event of undervoltage and overvoltage faults and the signals will be sent to the control unit for further action. The importance of design and development of iRTU is being able to provide a system that can continuously collect, process, store data and operate independently through programming and save time and cost. The significance of this research is the improvement of the RTU system whereby the iRTU designed is based on existing RTUs. The iRTU has an industrial application potential which can be applied in TNB distribution automation and other industrial sectors to monitor weather, temperature, leakage current and others overcurrent. The proposed iRTU is to monitor the voltage fault and send the information in terms of type fault, the value of fault, substations status and locations, date and time to the monitoring unit

Information Sharing for improved Supply Chain Collaboration – Simulation Analysis

Collaboration among consumer good’s manufacturer and retailers is vital in order to elevate their performance. Such mutual cooperation’s, focusing beyond day to day business and transforming from a contract-based relationship to a value-based relationship is well received in the industries. Further coupling of information sharing with the collaboration is valued as an effective forward step. The advent of technologies naturally supports information sharing across the supply chain. Satisfying consumers demand is the main goal of any supply chain, so studying supply chain behaviour with demand as a shared information, makes it more beneficial. This thesis analyses demand information sharing in a two-stage supply chain. Three different collaboration scenarios (None, Partial and Full) are simulated using Discrete Event Simulation and their impact on supply chain costs analyzed. Arena software is used to simulate the inventory control scenarios. The test simulation results show that the total system costs decrease with the increase in the level of information sharing. There is 7% cost improvement when the information is partially shared and 43% improvement when the information is fully shared in comparison with the no information sharing scenario. The proposed work can assist decision makers in design and planning of information sharing scenarios between various supply chain partners to gain competitive advantage

Self-adaptive and online QoS modeling for cloud-based software services

In the presence of scale, dynamism, uncertainty and elasticity, cloud software engineers faces several challenges when modeling Quality of Service (QoS) for cloud-based software services. These challenges can be best managed through self-adaptivity because engineers' intervention is difficult, if not impossible, given the dynamic and uncertain QoS sensitivity to the environment and control knobs in the cloud. This is especially true for the shared infrastructure of cloud, where unexpected interference can be caused by co-located software services running on the same virtual machine; and co-hosted virtual machines within the same physical machine. In this paper, we describe the related challenges and present a fully dynamic, self-adaptive and online QoS modeling approach, which grounds on sound information theory and machine learning algorithms, to create QoS model that is capable to predict the QoS value as output over time by using the information on environmental conditions, control knobs and interference as inputs. In particular, we report on in-depth analysis on the correlations of selected inputs to the accuracy of QoS model in cloud. To dynamically selects inputs to the models at runtime and tune accuracy, we design self-adaptive hybrid dual-learners that partition the possible inputs space into two sub-spaces, each of which applies different symmetric uncertainty based selection techniques; the results of sub-spaces are then combined. Subsequently, we propose the use of adaptive multi-learners for building the model. These learners simultaneously allow several learning algorithms to model the QoS function, permitting the capability for dynamically selecting the best model for prediction on the fly. We experimentally evaluate our models in the cloud environment using RUBiS benchmark and realistic FIFA 98 workload. The results show that our approach is more accurate and effective than state-of-the-art modelings

Design and Implementation on Multi-Function Smart Wheelchair

With the increase of population aging, chronic diseases and accidental injuries, more and more people are facing the plight of diminished or even lost walking ability. As a kind of mobile service robot, the smart wheelchair has strong environmental adaptability, smooth motion control and friendly human-computer interaction experience, and is an indispensable tool in rehabilitation engineering and elderly assistance engineering, which has important research value and social significance. In this paper, the system structure framework of the multi-function smart wheelchair and the specific technical scheme of each module are formulated based on the modular design idea, and the intelligent control hardware platform with Arduino UNO controller as the core is built to complete the control software writing, and an intelligent wheelchair for the elderly and disabled guardianship is designed. This multi-function smart wheelchair combined with IoT technology can realize distance navigation, obstacle avoidance, medication reminder, sign measurement, remote monitoring, GPS positioning, and upload information through OneNET cloud platform, which can view the location of the wheelchair and the safety status of the elderly from the map in real time in the cell phone APP and PC backstage, in order to improve the control and monitoring capability of the wheelchair

PI in the sky: The astronaut science advisor on SLS-2

The Astronaut Science Advisor (ASA, also known as Principal-Investigator-in-a-Box) is an advanced engineering effort to apply expert systems technology to experiment monitoring and control. Its goal is to increase the scientific value of information returned from experiments on manned space missions. The first in-space test of the system will be in conjunction with Professor Larry Young's (MIT) vestibulo-ocular 'Rotating Dome' experiment on the Spacelab Life Sciences 2 mission (STS-58) in the Fall of 1993. In a cost-saving effort, off-the-shelf equipment was employed wherever possible. Several modifications were necessary in order to make the system flight-worthy. The software consists of three interlocking modules. A real-time data acquisition system digitizes and stores all experiment data and then characterizes the signals in symbolic form; a rule-based expert system uses the symbolic signal characteristics to make decisions concerning the experiment; and a highly graphic user interface requiring a minimum of user intervention presents information to the astronaut operator. Much has been learned about the design of software and user interfaces for interactive computing in space. In addition, we gained a great deal of knowledge about building relatively inexpensive hardware and software for use in space. New technologies are being assessed to make the system a much more powerful ally in future scientific research in space and on the ground

An investigation into BIM based detailed cost estimating and drivers to the adoption of BIM in quantity surveying practices

Purpose Although studies have shown the relevance of BIM (Building Information Modeling) in cost estimating process, efforts at investigating BIM based detailed cost estimating among professional quantity surveyors through quantitative approach are scanty. The purpose of this study is to identify and examine the usage of BIM based detailed cost estimating software; and assesses the drivers to BIM adoption within the Nigerian quantity surveying consulting firms. Design/methodology/approach A comprehensive literature review, pilot study, and questionnaire survey were adopted. The survey targeted both the BIM users and non- BIM users’ quantity surveying consulting firms in Lagos, Nigeria. The data collected were analysed using frequency, percentage, mean score, standard deviation, Mann-Whitney test, and factor analysis. Findings The study found that 46.58% of quantity surveying consulting firms are aware of BIM and have adopted it for detailed cost estimating, while 49.32% of quantity surveying consulting firms are aware but have not adopted BIM based detailed cost estimating, and 4.10% of quantity surveying consulting firms are not aware at all. Also, the study identified various BIM based detailed cost estimating software used in quantity surveying practices and found that Microsoft excel is often used alongside 3D software; Autodesk QTO, Navisworks, Innovaya composer, and CostX respectively are prevalent BIM software used for detailed cost estimating. In addition, the study identified 21 drivers to the adoption of BIM in quantity surveying practices. The result of factor analysis grouped the 21 identified drivers into five principal factors: improved whole life cycle/design quality; enhanced decision and visualization; cost and time saving; marketing and support for quantity surveyor tasks; and government and client pressure. Practical implication This study provides significant insight into the application of BIM to quantity surveying consulting practices, thereby enables consultant quantity surveyors to make informed decisions to select BIM cost estimating software to suit their practices. Further, the study findings can be useful for individuals, clients’ and contractors’ quantity surveyors to be fully aware of the opportunities BIM could bring in relation to their service delivery. Originality/value Accurate cost estimating, effective cost monitoring and control are essential elements to a construction project success. This study further emphasized the importance of BIM to quantity surveying practices, particularly in the area of the detailed cost estimating

Convergence and interoperability of BIM with passive design principles

The Passive House Planning Package (PHPP) is a parametric modelling spreadsheet for building energy performance designed initially for the certification of buildings that meet passivhaus and EnerPHit refurbishment standards. However there is also a growing use of PHPP as a design stage tool to test strategic options for new build, hybrid and refurbishment development projects. As passive design principles follow a fabric-first approach to achieve a whole-house energy performance, the concept design stages are critical to success as decisions are made regarding orientation and heat-loss parameters arising out of the building geometry. In this context, PHPP is a trusted calculation tool that is comprehensive in the scope of factors and variables included to make it one of the most scientifically superior tools available. Its practical value is reinforced from a series of comparative studies which have undertaken triangulation in design stage energy assessments and PHPP has proved to be more accurate and more cost effective in practice than other standard modelling tools and methodologies such as IES and SAP. Where building information modelling (BIM) is a combination of geometric or spatial data generally found within a 3D architectural model and a connected document management system (DMS), PHPP data has largely been limited to the latter as one of the main instances in architecture and design modeling with a bias towards non-geometric data. This has changed with the introduction of designPH as an add-on tool for SketchUp and the BIM enabling in the recent versions of SketchUp. The paper is a case study in the practical application of the designPH tool for two separate UK based domestic design projects; one new build and one refurbishment; and the practical issues of interoperability with PHPP and BIM enabled software. The case studies review (1) the potential benefits of improved accuracy and quality control that address the technical performance gap between ‘design’ and ‘as-built’ standards; (2) the requirements regarding data collection, specifically the level of definition / detail (LoD) of data needed to describe the geometry and attributes of the existing structure and input climate data; (3) the technical limitations around ICT and software skills. Recommendations are made on the value of a simplified and integrated BIM workflow to benefit passive design projects. Critically the projects explore BIM interoperability using the addition of an energy domain to the IFC schema based on the input requirements for PHPP to make it more compatible with 3D modelling packages and achieve better integration between mathematical / parametric modelling of the energy performance and the building geometry

CECHY POMIARÓW DYNAMICZNYCH PRĘDKOŚCI KĄTOWEJ Z WYKORZYSTANIEM ENKODERA

Based on the most significant features of the angular velocity dynamic measurements selected by the authors, the main phases of measuring information transformation were established, which allowed to obtain new mathematical models in the form of transformation function, equations for estimating quantization errors, analytical dependences for measuring range that are initial for modeling physical processes occurring in such digital measuring channels with microprocessor control. The process of converting an analog quantity into a binary code is analytically described, an equation for estimating the absolute and relative quantization error is obtained and a measurement range is established, which provides a normalized value of relative quantization error for angular velocity measuring channels with encoder. For the first time, the equation of sampling error was obtained, and it was proved that the limiting factor of the angular velocity measurements upper limit is not only the normalized value of quantization error, as previously thought, but also the value of sampling frequency fD. Therefore, to expand the measurement range (by increasing the upper limit of measurement), it is proposed not only to increase the speed of analog-to-digital conversion hardware, but also to reduce the execution time of software drivers for transmitting measurement information to RAM of microprocessor system. For this purpose, the analytical dependences of estimating the upper limit of measurement based on the value of the sampling step for different modes of measurement information transmission are obtained. The practical implementation of the software mode measurement information transmission is characterized by a minimum of hardware costs and maximum execution time of the software driver, which explains its low speed, and therefore provides a minimum value of the upper limit measurement. In the interrupt mode, the upper limit value of the angular velocity measurement is higher than in the program mode due to the reduction of the software driver’s execution time (tFl = 0). The maximum value of the angular velocity measurements upper limit can be achieved using the measurement information transmission in the mode of direct access to memory (DMA) by providing maximum speed in this mode (tFl = 0, tDR = 0). In addition, the application of the results obtained in the work allows at the design stage (during physical and mathematical modeling) to assess the basic metrological characteristics of the measuring channel, aimed at reducing the development time and debugging of hardware, software, and standardization of their metrological characteristics.Na podstawie najistotniejszych cech dynamicznych pomiarów prędkości kątowej ustalono główne fazy transformacji informacji pomiarowej, co pozwoliło na uzyskanie nowych modeli matematycznych w postaci funkcji transformacji, równań do szacowania błędów kwantyzacji, analitycznych zależności dla zakresu pomiarów, które są podstawą do modelowania procesów fizycznych zachodzących w takich cyfrowych kanałach pomiarowych ze sterowaniem mikroprocesorowym. analitycznie opisano proces konwersji wartości analogowej na kod binarny Po raz pierwszy otrzymano równanie błędu próbkowania i udowodniono, że czynnikiem ograniczającym górną granicę pomiarów prędkości kątowej jest nie tylko znormalizowana wartość błędu kwantyzacji, jak sądzono wcześniej, ale także wartość częstotliwości próbkowania fD. Dlatego w celu rozszerzenia zakresu pomiarowego (poprzez zwiększenie górnej granicy pomiaru) proponuje się nie tylko zwiększenie szybkości działania sprzętu do konwersji analogowo-cyfrowej, ale również skrócenie czasu wykonania sterowników programowych do transmisji informacji pomiarowej do pamięci RAM systemu mikroprocesorowego. w tym celu uzyskano analityczne zależności górnej granicy pomiaru od wartości kroku próbkowania dla różnych trybów transmisji informacji pomiarowej. W trybie przerwania górna wartość graniczna pomiaru prędkości kątowej jest wyższa niż w trybie programu ze względu na skrócenie czasu wykonania sterownika programowego (tFl = 0). Maksymalną wartość górnej granicy pomiaru prędkości kątowej można uzyskać przesyłając informacje pomiarowe w trybie bezpośredniego dostępu do pamięci (DMA) zapewniając maksymalną prędkość w tym trybie (tFl = 0, tDR = 0). Ponadto zastosowanie uzyskanych w pracy wyników pozwala na etapie projektowania (podczas modelowania fizycznego i matematycznego) na ocenę głównych cech metrologicznych kanału pomiarowego, co ma na celu skrócenie czasu rozwoju i debugowania sprzętu, oprogramowania oraz standaryzacji ich cech metrologicznych

A Data-Driven Condition Monitoring of Product Quality Analysis System Based on RS and AHP

Mechanical and electrical products have complex structure and intelligent control system, their reliability plays an important role in the normal operation of security facilities. However, most manufacturers usually pay more attention to the product designing and manufacturing quality, with little interest in the intelligent fault diagnosis. The objective of this study is to develop the products quality intelligent analysis and management system based on Rough Set (RS) and Analytic Hierarchy Process (AHP). Firstly, this paper reviews the principle of hardware, software design, monitoring platform and quality analysis system to reduce the number of information transfer with computer technology. Secondly, the fault types and feature extractions of different faults of elevators are presented and simplified by using RS theory. Then, the objective weight of level index model can be obtained by AHP method, and the comprehensive analysis weight of each index is obtained by using the value of subjective and objective weight coefficients with the golden ratio. Finally, a comprehensive decision weight of the major index for quality control analysis system of many vertical elevators is presented. The results show that the data-driven condition monitoring and quality analysis system is a kind of important means to prevent a disaster of complex mechanical and electrical products