Web Based Automated Smart House Management

Navya, Navya; Dumala, Ganesh

doi:10.11591/telkomnika.v13i3.7173

Cited by 3 publications

(8 citation statements)

References 7 publications

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“…The inference engine that utilize forward chaining is used on rule based reasoning method, 12 to control a LM35DZ as temperature sensor signal and/or PIR sensor to detect a motion to trigger a buzzer in order to solving a room security issue. 5,6 This method can be seen in the Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…voltage that linearly proportional to the Celsius (Centigrade) temperature and can detect temperature between -55 0 C to 150 0 C. [6][7] LM35DZ can convert temperature to voltage with a sensitivity of 10mV / 0 C. 20 LM35DZ can be controlled by applying a +5v voltage on pin 1. Pin 2…”

Section: Methodsmentioning

confidence: 99%

“…[6][7]20 Passive Infrared Receiver (PIR) responds only to incoming infrared radiation that emitted from every object, especially the human body. 10 Infra Red (IR) filter in the PIR is able to detect IR wavelength between 8-14 micrometers, while human body radiate IR at wavelengths of 9-10 micrometers.…”

Section: Methodsmentioning

confidence: 99%

“…It will be triggering a buzzer if a human presence is detected. Second sensor, a temperature sensor, is set between 0 0 C to 31 0 C. 6,20 Buzzer will be activated when a temperature sensor detect a room temperature is above 31 0 C. The basic principles of this security system is as an electronic access control using motion detector by means of PIR sensor and LM35DZ temperature sensor. This system will automatically detect the room temperature and will trigger the buzzer if the temperature in the room is increasing.…”

Section: B Design Rule Based and Architecture Of The Systemmentioning

confidence: 99%

“…[2][3][4] One of them is to use a rule based reasoning method. 5 Combined with the use of a temperature sensor, 6,7 and/or motion detector. [8][9][10] The utilization of rule based reasoning method, which is a part of an expert system, 11 in artificial intelligence can be used to improve room security.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

Mufadhol¹,

Aryotejo²,

Kristiyanto³

2017

adv sci lett

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Theft and infiltration as well as robbery are an incident that should be anticipated. The security of the room is a main priority to prevent such occurrences. This paper will be explain how to the rule based reasoning method is part of the expert system that can be used in a security room systems by monitoring the temperature change in the room as well as detecting movement in the room by using the temperature sensor and motion detector. The output indicators is the buzzer sounds that will be activated when there is an increase in the temperature and/or there is a movement in the room.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: B Design Rule Based and Architecture Of The Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

Mufadhol¹,

Aryotejo²,

Kristiyanto³

2017

adv sci lett

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show abstract

Smart Microwave Oven with Image Classification and Temperature Recommendation Algorithm

Khan¹

2018

IJECE

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When food is warmed in a microwave oven, the user guesses the estimated time for the heating. This cognitive process of guessing can be incorrect - resulting the final food temperature to be too hot or still cold. In this research, a novel closed-loop microwave oven is designed which automatically suggests the target temperature of a food by learning from previous experiences and the heating stops automatically when the food temperature reaches the target temperature. The proposed microwave captures and classifies the food image, and recommends the target temperature, thus the user does not need to remember the target food temperature each time the same food is warmed. The algorithm gradually learns the type of foods that are used in that household and becomes smarter in the recommendation. The proposed algorithm can recommend target temperature with an accuracy of 86.31% for solid food and 100% for liquid food. A prototype of the proposed microwave is developed using the embedded system and tested.

show abstract

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

Mufadhol¹

2017

Preprint

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show abstract

Web Based Automated Smart House Management

Cited by 3 publications

References 7 publications

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

Smart Microwave Oven with Image Classification and Temperature Recommendation Algorithm

Rule Based Reasoning Method for Safety Room by Means of Temperature Sensor and Motion Detector

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