Implementasi Google Speech Untuk Penentuan Level Pembelajaran Iqro’ Berbasis Android

Dewasa ini perkembangan teknologi yang berkembang pesat telah mendorong sebagian manusia untuk berinovasi dalam menciptakan berbagai penemuan untuk memudahkan aktivitas manusia itu sendiri termasuk dalam bidang pembelajaran.Salah satu inovasi tersebut adalah menggunakan teknologi google speech berbasis android sebagai sebagai media pembelajaran yang interaktif.Menurut Heinich yang dikutip oleh Azhar Arsyad (2011:4), media pembelajaran adalah perantara yang membawa pesan atau informasi bertujuan instruksional atau mengandung maksud- maksud pengajaran antara sumber dan penerima. Voice/Speech recognition adalah suatu pengembangan teknik dan system yang memungkinkan computer untuk menerima masukan berupa kata yang diucapkan.Android studio adalah sebuah IDE untuk Android Development yang diperkenalkan google pada acara Google I/O 2013.Android Studio merupakan pengembangkan dari Eclipse IDE.Android Studio merupakan IDE resmi untuk pengembangan aplikasi Android

Implementasi Google Speech untuk Penentuan Level Pembelajaran Iqro\u27 Berbasis Android

Dewasa ini perkembangan teknologi yang berkembang pesat telah mendorong sebagian manusia untuk berinovasi dalam menciptakan berbagai penemuan untuk memudahkan aktivitas manusia itu sendiri termasuk dalam bidang pembelajaran.Salah satu inovasi tersebut adalah menggunakan teknologi google speech berbasis android sebagai sebagai media pembelajaran yang interaktif.Menurut Heinich yang dikutip oleh Azhar Arsyad (2011:4), media pembelajaran adalah perantara yang membawa pesan atau informasi bertujuan instruksional atau mengandung maksud- maksud pengajaran antara sumber dan penerima. Voice/Speech recognition adalah suatu pengembangan teknik dan system yang memungkinkan computer untuk menerima masukan berupa kata yang diucapkan.Android studio adalah sebuah IDE untuk Android Development yang diperkenalkan google pada acara Google I/O 2013.Android Studio merupakan pengembangkan dari Eclipse IDE.Android Studio merupakan IDE resmi untuk pengembangan aplikasi Android

Oral-Care Goods Sales Forecasting Using Artificial Neural Network Model

AbstractSupply Chain consists of various components like supplier, manufacturer, factories, warehouses, distribution agents, customers, etc. Supply Chain Management encompasses all the activities from moving goods from sourcing to consumption. Sales forecasting is a part of downstream activity of supply chain and is the process of predicting future sales of the product. It helps in making informed business decisions. In this paper a study of various sales forecasting algorithms is done and results of sales of oral-care products are calculated using Back-Propagation Neural Network Model. The error rate for different products is also calculated

Stock Value Prediction System

The use of artificial neural network is gaining popularity in the research field. Neural network consist of interconnected neurons which deciphers value by using input data by feeding network values. The main aim of our project is to use backpropagation process to predict the future value.Stock market prediction models are the most challenging fields in computer science. The aim of this project is implementation of neural networks with back propagation algorithm for stock value prediction .A neural network is a powerful data-modeling tool that is able to capture and represent complex input/output relationships. We apply Data mining technology to the stock in order to research the trend of the market. Our proposed system provides methods to develop machine learning stock market predictor based on Neural Networks using Back propagationalgorithm, with intent of improving the accuracy. In this paper we have used data mining process along with artificial neural network networking to predict the future value of the stock. This paper overcomes the all traditional statistical methods of the stock market value prediction. DOI: 10.17762/ijritcc2321-8169.16049

A Review on Edge Based Image Steganography

Security of the information has always been the interesting area for researchers. Integrity, Confidentiality, and Authentication are main security principles. There are so many techniques developed to achieve these security principles using cryptography. But all these techniques are unable to keep the communication secret. Although the attacker is unable to access the secret message but he knows about the existence of the message. To overcome this limitation of cryptography a new idea is proposed by researchers that is Steganography. Steganography is the art of concealing secret message in a carrier such as text, image, audio, video and protocol messages. Different Steganography techniques are used based on these carrier messages and way of hiding. The choice of these method is depends on the requirements of application. Some application requires huge data embedding and some require high secrecy. This paper gives a review on image Steganography based on edge detection and their comparative study. It also gives an overview of basic edge detection techniques

Robust Controller for Delays and Packet Dropout Avoidance in Solar-Power Wireless Network

Solar Wireless Networked Control Systems (SWNCS) are a style of distributed control systems where sensors, actuators, and controllers are interconnected via a wireless communication network. This system setup has the benefit of low cost, flexibility, low weight, no wiring and simplicity of system diagnoses and maintenance. However, it also unavoidably calls some wireless network time delays and packet dropout into the design procedure. Solar lighting system offers a clean environment, therefore able to continue for a long period. SWNCS also offers multi Service infrastructure solution for both developed and undeveloped countries. The system provides wireless controller lighting, wireless communications network (WI-FI/WIMAX), CCTV surveillance, and wireless sensor for weather measurement which are all powered by solar energy

Analysis and Design of "Dates Traceability System"

Food chain traceability verifies the breadth and depth characteristics to meet the production process and to reach desired objectives such as insuring food safety and providing consumers with added confidence in the food authenticity. Information technology is an attractive solution that helps achieve the traceability objectives. This is especially true with the wide spread of the Web technologies. This paper is intended   to enable any consumer for tracking dates products from its origin farm all the production stages to its final consumption. The functionalities of this system will include managing dates product data and their related actors, elaborating a way of coding dates product so that we can extract all traceability information using this code, helping/supporting finding anomalies (if any) in the chain of production and improving the dates quality. At any stage of the chain a product can be traced-back and offering services to health and government organizations to get better vision of the date's product history.