• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.2
• /
• pp.1005-1018
• /
• 2017

This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.06a
• /
• pp.340-343
• /
• 2007

To effectively manage a electric lamp on a remote place, it is required to identify a status of the lamp or the place. however, since there is no methods to notify the status of sensor to the central management system in a lamp system based on the non-networked sensor, it is difficult to manage the lamps remotely. In this paper, we propose the lamp management system to acquire the various status informations of lamps using more than two sensors. To get the status remotely, the system exploits a wireless network based on the ZigBee. The benefit of this system is to help the efficient decision makings of administrators.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.10a
• /
• pp.312-315
• /
• 2008

Recently, owing to the development of ubiquitous, RFID and local area wireless communication technology, many studies on the system which can measure biomedical signals are being carried out. In this paper, we have designed and implemented an u-Healthcare system based on sensor network using biomedical signal measurement sensors such as ECG, blood pressure, and heartbeats. The biomedical signals from sensor nodes pass through the gateway and are finally transmitted to a healthcare renter. The acquired biomedical signals are processed in the healthcare center and the analyzed results are transmitted to the patients to improve patients' health using either kinesitherapy or dietary treatment.

• Journal of Internet Computing and Services
• /
• v.9 no.6
• /
• pp.99-107
• /
• 2008

Wireless sensor networks (WSN) based on low-power technologies become important portion of ubiquitous systems. In this paper, we introduce a WSN-based welfare management system as one of the WSN applications. Especially, we implement S-MAC (Sensor Medium Access control) protocol on our system that saves both cost and power consumption, and we evaluate system performances using the TOSSIM simulator. Sensors and a small database server are placed in the house of participant, which collects and stores some environment conditions of the house. The small servers are connected to each others by wireless ad-hoc network.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.44 no.2 s.314
• /
• pp.25-30
• /
• 2007

Sensor Nodes are composed of battery which cannot be easily changed. So, it is very important to reduce energy consumption of Sensor Nodes. In this paper, we implemented Sensor Network system using changed S-MAC to save energy with Zigbee. We deceased energy consumption of node by reducing duty cycle in ACTIVE part. According to experiment, using supposed algorithm is better than using S-MAC about $25\sim30%$ in energy consumption.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.592-595
• /
• 2013

Advent of Wireless Sensor Networks (WSN) has provided potentials to a variety of construction applications. It is well appreciated that WSNs have advantages over traditional wired system, such as ease of installation and maintenance with increased cost savings and efficiencies. However, the obstruction of wireless signal from physical objects in the heterogeneous construction environment often brings challenges to WSN measurement system. This paper analyzed the obstruction characteristic of construction environment where construction materials, equipment, and built structures obstruct the wireless signal yielding negative effect of measurement system. By adopting evaluation criteria, such as packet reception rate, field experiments have been implemented to quantitatively identify the interference of wireless signal from penetration, reflection, and network traffic under the construction environment. The results show that reliable performance of wireless sensor in construction environment depends on the optimal separation distance between a receiver and a transmitter, obstruction types, obstruction thickness, and transmission interval. In addition, the methodology and experimental results of this paper could be used in the practical design of network topology when hundreds of sensor nodes form a mesh network in the large scale construction applications.

• Journal of Korean Society of Forest Science
• /
• v.96 no.5
• /
• pp.510-514
• /
• 2007

The main purpose of this study was to develop Mountain Search and Rescue System for enhancing search and rescue operations in the mountains. This study also focused on presenting an alternative to using a cellular phone for requesting rescue due to their unreliability in remote areas. This system is designed to help in the search and rescue of people in emergency situations in the mountains. It is composed of buzzer sensors, environmental information sensors, and a statistical analysis program. A key feature of this system is that it does not require an infrastructure of internet or CDMA networks for its operation in the mountains. The measure for the study was conducted by using a zigbee protocol analyzer, RF module and 433MHz Helical antenna to analyze the rate of data reception in relation to the distance between nodes. This system is applicable to mountains provided the distance between nodes is over 100 m and under 150 m.

• Convergence Security Journal
• /
• v.10 no.2
• /
• pp.11-17
• /
• 2010

Recent technological advances allow us to envision a future where large numbers of low-power, inexpensive sensor devices are densely embedded in the physical environment, operating together in a wireless network. This paper considers localization for mobile sensors; localization must be invoked periodically to enable the sensors to track their location. Localizing more frequently allows the sensors to more accurately track their location in the presence of mobility. In this paper, we test and analyze the accuracy of a moving node localization by Received Signal Strength (RSS).

• Journal of Sensor Science and Technology
• /
• v.19 no.1
• /
• pp.43-51
• /
• 2010

In this study, wearable ECG measurement system was implemented for health monitoring during daily life. A wearable belt-type ECG electrode worn around the chest by measuring the real-time ECG is produced in order to minimize the inconvenience in wearing. The measured ECG signal is transmitted via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible wireless sensor node. The ECG monitoring program is developed at end user which is personal computer. The measured ECG contains many noises mainly due to motion artifacts. For ECG signal processing, adaptive filtering process is proposed which can reduce motion artifacts efficiently and accurately than digital filter. The experimental results show that a reliable performance with high quality ECG signal can be achieved using this wearable ECG monitoring system.

• Journal of information and communication convergence engineering
• /
• v.7 no.3
• /
• pp.412-417
• /
• 2009

With ubiquitous computing aid, it can improve human being's life quality if all people have more convenient medical service under pervasive computing environment. In this paper, for a pervasive health care application for diabetes patient, we've implemented a health care system, which is composed of three parts. Various sensors monitor both outer and inner environment of human such as temperature, blood pressure, pulse, and glycemic index, etc. These sensors form zigbee-based sensor network. And as a backend, medical information server accumulates sensing data and performs back-end processing. To simply transfer these sensing values to a medical team may be a low level's medical service. So, we've designed a model with context awareness for more improved medical service which is based on ART(adaptive resonance theory) neural network. Our experiments show that a proposed healthcare system can provide improved medical service because it can recognize current context of patient more concretely.