• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 2005.05a
• /
• pp.87-90
• /
• 2005

An experimental investigation of the basic characteristics of a micro-cantilever sensor was performed by inspecting the amplitude and frequency characteristics using a commercial tuning fork. Application of acetone and ethanol with a volume of $1 {\mu}l$ on the tine of a vibrating tuning fork cause immediate response in its amplitude and frequency. It has shown that the tuning fork has ability to recognize a chemical agent with high sensitivity.

• International Journal of Concrete Structures and Materials
• /
• v.3 no.1
• /
• pp.33-37
• /
• 2009

Fiber Bragg grating (FBG) sensors already have been the focus for structural health monitoring (SHM) due to their distinguishing advantages. However, as bare optical fiber is very fragile, bare FBG strain sensor without encapsulation can not properly be applied in practical infrastructures. Therefore encapsulation techniques for making encapsulated FBG strain sensor show very important in pushing forward the application of FBG strain sensors in SHM. In this paper, a simplified approximate method to analyze the stress transferring rules for embedded FBG strain sensors in concrete monitoring is put forward according to mechanics of composite materials. Shear lag theory is applied to analyze the stress transferring rule of embedded FBG strain sensor in measured host material at the first time. The measured host objects (concrete) and the encapsulated FBG strain sensor are regarded as a composite, and then the stress transfer formula and stress transfer coefficient of encapsulated FBG strain sensor are obtained.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.654-659
• /
• 2009

As web based software has developed recently, service via web has increased gradually. For this, many research organizations and reports call web is the platform of software. While web based technologies have developed, middleware of WSN and its application service has been developed from desktop based operation system. So WSN's technology reached uppermost limit of desktop application. There's difficulty in integrating, distributing and maintaining & repairing for WSN due to a tightly-coupled structure which's related closely to the hardware of sensor nod. Unlike this, web has a loosely-coupled structure and an opened system, so web service or Rich internet application (RIA) is helpful to solve the above limits. Especially, RIA is web application but can be the platform of WSN' application because it gives us various methods to communicate with user interface similar to desktop application. In this study, I suggest Message System for WSN Using RIA, expanding WSN's interconnectedness and accessibility to internet.

• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.1536-1540
• /
• 1997

Recently, many advanced technologies in electronics, mechanics, material and computer science have been applied to medictine and they have changed the method of diagnosis and treatment to more quantitative way than before. Now day, with the aid of this technology, the device for the minimal invasive diagnosis and treatment is being developed for the convenience and safety of patients. this paper introduces application of senso and MEMS(Micro Electro Mechnical System) in medicine and biotechnology, which are essential factor for the realization of minimal invasive diagnosis and treatment.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.1
• /
• pp.69-80
• /
• 2019

This paper proposes a multimodal sensor platform which supports plug and play (PnP) technology. PnP technology automatically recognizes a connected sensor module and an application program easily controls a sensor. To verify a multimodal platform for PnP technology, we build up a firmware and have the experiment on a sensor system. When a sensor module is connected to the platform, a firmware recognizes the sensor module and reads sensor data. As a result, it provides PnP technology to simply plug sensors without any software configuration. Measured sensor raw data suffer from various distortions such as gain, offset, and non-linearity errors. Therefore, we introduce a polynomial calculation to compensate for sensor distortions. To find the optimal coefficients for sensor calibration, we apply a genetic algorithm which reduces the calibration time. It achieves reasonable performance using only a few data points with reducing 97% error in the worst case. The platform supports various protocols for multimodal sensors, i.e., UART, I2C, I2S, SPI, and GPIO.

• Annual Conference of KIPS
• /
• 2021.11a
• /
• pp.128-130
• /
• 2021

Smart cities collect data from thousands of IoT-based sensor devices for intelligent application-based services. Centralized cloud servers support application tasks with higher computation resources but introduce network latency. Fog layer-based data centers bring data processing at the edge, but fewer available computation resources and poor task allocation strategy prevent real-time data analysis. In this paper, tasks generated from devices are distributed as high resource and low resource intensity tasks. The novelty of this research lies in deploying a virtual node assigned to each cluster of IoT sensor machines serving a joint application. The node allocates tasks based on the task intensity to either cloud-computing or fog computing resources. The proposed Task Allocation Strategy provides seamless allocation of jobs based on process requirements.

• Journal of Korea Multimedia Society
• /
• v.17 no.8
• /
• pp.977-987
• /
• 2014

Many of the recent performance evaluation of clustering schemes in wireless sensor networks considered one sink node operation and fixed sink node location without mentioning about any network application requirements. However, application environments have variable requirements about their networks. In addition, network performance is sufficiently influenced by different sink node location scenarios in multi-hop based network. We also know that sink location can influence to the sensor network performance evaluation because of changed multipath of sensor nodes and changed overload spots in multipath based wireless sensor network environment. Thus, the performance evaluation results are hard to trust because sensor network is easily changed their network connection through their routing algorithms. Therefore, we suggest that these schemes need to evaluate with different sink node location scenarios to show fair evaluation result. Under the results of that, network performance evaluation results are acknowledged by researchers. In this paper, we measured several clustering scheme's performance variations in accordance with various types of sink node location scenarios. As a result, in the case of the clustering scheme that did not consider various types of sink location scenarios, fair evaluation cannot be expected.

• Journal of Sensor Science and Technology
• /
• v.28 no.3
• /
• pp.198-204
• /
• 2019

In this study, we propose a wearable force sensor using 3D printed mold and liquid metal. Liquid metal, such as Galinstan, is one of the promising functional materials in stretchable electronics known for its intrinsic mechanical and electronic properties. The proposed soft force sensor measures the external force by the resistance change caused by the cross-sectional area change. Fused deposition modeling-based 3D printing is a simple and cost-effective fabrication of resilient elastomers using liquid metal. Using a 3D printed microchannel mold, 3D multichannel Galinstan microchannels were fabricated with a serpentine structure for signal stability because it is important to maintain the sensitivity of the sensor even in various mechanical deformations. We performed various electro-mechanical tests for performance characterization and verified the signal stability while stretching and bending. The proposed sensor exhibited good signal stability under 100% longitudinal strain, and the resistance change ranged within 5% of the initial value. We attached the proposed sensor on the finger joint and evaluated the signal change during various finger movements and the application of external forces.

• International Journal of Advanced Culture Technology
• /
• v.4 no.1
• /
• pp.28-30
• /
• 2016

Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.

• Smart Structures and Systems
• /
• v.16 no.4
• /
• pp.607-621
• /
• 2015

Wireless sensor technology has been opened up numerous opportunities to advanced health and maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The way the sensor nodes are connected plays an important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor network were extensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.