9 research outputs found
RF Based Remote Control for Electrical Appliances
This work presented here is to control electrical appliances through RF based remote system. From anywhere without any line of sight, RF based wireless remote control system can change the state of the electrical appliances either in off state or in on state. The controlling circuit is built around RF transmitter and RF Receiver modules which are operating at certain frequency along with a encoder and a decoder with few passive components.
The four different channels at the encoder IC are used as input switches and the four channels at the decoder output are connected to the electrical devices through a relay. Here the transmission technique is amplitude shift keying (ASK) and the circuit is powered with 9 Volt. The main objective of this work is to control electrical appliances without line of sight requirement using the RF technology.
It has many applications like we can control any independent electrical appliance such as T.V, room light, fan just from a remote. Operating them manually is a tedious job and become hectic sometimes. If one can control devices like fan, TV, lights and music system with a remote from a distance place just by pressing the button, life will become simpler. This will make our life more comfortable and easier
MODEL PENILAIAN ASPEK AFEKTIF âAKHLAK MULIAâ BERBASIS DATA LINGUISTIK
Penilaian aspek afektif di sekolah merupakan proses pengambilan keputusan yang harus memperhitungkan banyak kriteria. Selain itu, penilaian aspek afektif juga dapat dipandang sebagai suatu pengambilan keputusan kelompok oleh beberapa orang guru, dengan mempertimbangkan beberapa kriteria yang ditentukan. Penilaian aspek afektif mengolah data hasil pengamatan terhadap perilaku siswa, yang biasanya berupa skor dalam skala tertentu. Data skor tersebut kemudian diolah dengan menggunakan metode tertentu untuk memperoleh nilai akhir yang wujud berinformasi linguistik, seperti baik, atau sangat baik.
Berikut ini akan disusun sebuah pemodelan untuk penilaian aspek afektif yang mengolah data awal berupa data linguistik, yang bersifat fuzzy dengan mempertimbangkan banyak kriteria (multi criteria). Dalam kajian ilmu komputer, pengambilan keputusan kelompok yang melibatkan banyak kriteria dapat diselesaikan dengan metode Multi Criteria Group Decision Making (MCGDM). Penyelesaian masalah yang mengolah informasi linguistik banyak dikembangkan dengan berdasarkan pada operator Ordered Weighted Averaging (OWA).
Hasil pemodelan mengusulkan adanya penghalusan kategori informasi linguistik yang digunakan dalam nilai akhir, pemanfaatan operator agregasi data linguistik yaitu Fuzzy Linguistic Ordered Weighted Averaging (FLOWA), penghitungan bobot setiap sub kriteria dengan menggunakan Linguistic quantifier, dan penggunaan operator agregasi klasik untuk mengagregasi data penilaian dari beberapa guru. Pemodelan ini dapat digunakan sebagai alternatif dalam model pengambilan keputusan kelompok khususnya dalam penilaian aspek afektif siswa sekolah.
Kata kunci: Penilaian aspek afektif, MCGDM, data linguistik
Design and Implementation of a Generator Power Sensor and Shutdown Timer
This research is on the design and construction of a generator shutdown timer; an electronic device that automatically turns off electric generator after a specified period of duty hours. A microcontroller Atmega8 is used, which makes the entire circuitry compact, more flexible, efficient and reliable. The microcontroller program is written in C programming language using AVR studio4 and the circuit simulation using Proteus. This circuitry does not only control the timing operation of electric generators, but also possesses the ability to sense power restoration (from the utility power supply) and respond by switching off the generator. Power handling capacity of the circuit is estimated to be 1760W. Keywords: Power Sensor, Shutdown Timer, Atmega8, AVR Studio, Proteus VSM
Method for increasing the energy efficiency of wirelessly networked ambulatory health monitoring devices
In-home healthcare applications that use wearable devices ordinarily have strict power constraints due to the small size of the battery in the device. The power constraints are a key driver of research to develop new methods for improving the energy efficiency of ambulatory health monitoring devices. The radio-communication components typically consume a large proportion of the available energy in systems such as these. Given that radio transmissions use far more power than on-board processing, it is proposed that energy can be conserved by performing fall detection at the node. The proposed algorithm is intended to be performed at the node and provide a suitable balance between power consumption and detection accuracy. The research and prototype system described in this article focuses on wearable fall detection devices to be used elderly people who are living in non-hospital settings, and discusses considerations arising from the development of a prototype system. The outcomes of the system design and development process are discussed, and conclusions are drawn concerning the potential of the method to improve the energy efficiency of fall detection systems
Immersive Learning Environment with Integrated Interactive Video and Ubiquitous Technologies
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åįåččä―[[abstract]]Information technology is an integral part of daily life in many domains, including communication, computing, entertainment, and education. However, despite its pervasiveness, digitalization in various purposes and application in many human-based activities, it still plays the role of assisting and supporting people in manipulating and acquiring information. This study developed a ubiquitous learning environment based on the connection between digital and physical information. By using mobile learning technologies, including interactive video-based multimedia technology, GPS, GIS, and the electronic map service, learners can perform location-aware learning activities and experience corresponding appearances regarding a particular location. Accordingly learners can acquire new knowledge by participating in location-aware learning activities. We also demonstrate a ubiquitous learning activity of introducing the history of Tamkang University, Taiwan, and assess the effectiveness of the proposed ubiquitous learning environment.[[journaltype]]ååĪ[[incitationindex]]EI[[booktype]]įīæŽ[[countrycodes]]KO
Real Time Face Detection And Recognition Using Hybrid Method
Over the last few decades, the advancement in computer technology has made it possible to work Biometric systems with very high efficiency in real life scenario. Various efforts have been made to minimize pre-processing time. In this paper, the application developed here includes human face detection and recognition system using hybrid techniques. The hybrid technique is basically a combination of skin grabbing, Gabor filter and PCA. The whole system is divided into two sections. Firstly, real time detection of faces using various skin grabbing techniques. Secondly, a face recognition system using Gabor filter and PCA method. Hybrid technique for face detection and recognition guarantees accuracy
Fault Location and Classification System for Distribution of PEA using Traveling Wave Theory
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