Yan-Jin Zhu, Yinian Zhu, Li Hui, Sridhar Krishnaswamy

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.1, pp. 29-30, 2011, DOI:10.3970/icces.2011.020.029

Abstract Invited Lecture

Prof. Sridhar Krishnaswamy

Northwestern University, USA More >

Thang Duy Vu, Ruediger Schmidt¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.2, pp. 35-42, 2009, DOI:10.3970/icces.2009.013.035

Abstract Two geometrically nonlinear finite plate elements incorporating piezoelectric layers are presented, based either on first- or third-order shear deformation theory. Numerical tests are performed for the sensor output voltage of a piezolaminated plate. More >

Enrique García-Macías¹, Luis Rodríguez-Tembleque¹, Felipe García-Sánchez², Andrés Sáez^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 103-103, 2019, DOI:10.32604/icces.2019.05220

Abstract Enhancing the strength-to-weight ratio in structural engineering has traditionally attracted great research efforts from both scientist and practicing engineers. Development of new composite materials and/or alternative structural configurations have led to slender designs, which may be prone to buckling failure. Meanwhile, the most recent advances in the field of Nanotechnology have allowed the development of new composite materials with not only low weight and adequate load-bearing capacity, but also additional self-sensing capabilities. Such multifunctional composites open a vast range of possibilities in the field of Structural Health Monitoring. In particular, this work analyzes-from a numerical perspective-the effective implementation of carbon… More >

Erik T. Thostenson¹, Chunyu Li¹, Tsu-Wei Chou¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.3, No.1, pp. 29-34, 2007, DOI:10.3970/icces.2007.003.029

Abstract With their well-known novel mechanical and electrical properties, carbon nanotubes are inherently multifunctional. Toward the development of multifunctional composite materials we have experimentally and theoretically investigated the use of carbon nanotubes as sensors and actuators. In this research work, we consider the nanotube within an external electric field with non-uniform charge distribution. Subsequently the charge induced deformations are investigated. We also demonstrate that conducting carbon nanotube networks formed in an epoxy polymer matrix can be utilized as highly-sensitive sensors for detecting the onset, nature and evolution of damage in advanced polymer-based composites. Using direct-current measurements the internal damage accumulation can… More >

Byung-wan Jo¹, Do-keun Kim², Sung-keun Song³, Suk-un Kim⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.4, pp. 167-172, 2007, DOI:10.3970/icces.2007.001.167

Abstract Wireless sensor networks bring new challenges to Bridge monitoring. To monitor a bridge, behavior, including vibration and displacement, must be measured to analyze the health of the structure based on measured and collected data. The collected data can be used to compute modal properties of the bridge. A bridge is moved by external forces, including wind, seismic activity, and traffic. So it is very hard reliance of safety through a preexistence method which uses Data Logger. Dynamic behavior of a bridge is difficult to measure because of costs and installation methods. In this paper, a new method, using a U-Smart… More >

Haoran Zhu¹, Demin Gao^1,2,*, Shuo Zhang¹

Journal on Internet of Things, Vol.1, No.1, pp. 25-31, 2019, DOI:10.32604/jiot.2019.05897

Abstract Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, where a fire hazard index… More >

Weidong Fang¹, Wuxiong Zhang^1,2, Lianhai Shan^1,*, Biruk Assefa³, Wei Chen⁴

Journal of New Media, Vol.1, No.1, pp. 45-50, 2019, DOI:10.32604/jnm.2019.05786

Abstract As an effective error correction technology, the Low Density Parity Check Code (LDPC) has been researched and applied by many scholars. Meanwhile, LDPC codes have some prominent performances, which involves close to the Shannon limit, achieving a higher bit rate and a fast decoding. However, whether these excellent characteristics are suitable for the resource-constrained Wireless Sensor Network (WSN), it seems to be seldom concerned. In this article, we review the LDPC code’s structure brief.ly, and them classify and summarize the LDPC codes’ construction and decoding algorithms, finally, analyze the applications of LDPC code for WSN. We believe that our contributions… More >

Rajendran Muthuraj, Abhishek Sachan, Mickael Castro*, Jean-François Feller, Bastien Seantier*, Yves Grohens

Journal of Renewable Materials, Vol.6, No.3, pp. 277-287, 2018, DOI:10.7569/JRM.2017.634182

Abstract In this work, thermally insulating and electrically conductive aerogels were prepared from cellulose nanofibers (CNF) and carbon nanotubes (CNTs) by environmentally friendly freeze-drying process. The thermal conductivity of neat CNF aerogel is 24 mW/(m·K) with a density of 0.025 g/cm3. With the addition of CNTs into CNF aerogel, the electrical conductivity was significantly increased while the thermal conductivity was increased to 38 mW/(m·K). Due to these interesting properties, the Seebeck coefficient and the figure of merit (ZT) of the CNF/CNTs aerogels were measured and showed that CNF/CNTs aerogel thermoelectric properties can be improved. The compressibility and electrical resistance of the… More >

Maxime Pontié^1*, Serge Foukmeniok Mbokou^1,2, Jean-Philippe Bouchara¹, Bienvenue Razafimandimby¹, Sylvie Egloff¹, Ornella Dzilingomo¹, Pierre-Yves Pontalier³, Ignas Kenfack Tonle<

Journal of Renewable Materials, Vol.6, No.3, pp. 242-250, 2018, DOI:10.7569/JRM.2017.634169

Abstract Electrochemical determination of paracetamol (PCT) was successfully performed using carbon paste electrodes (CPEs) modified with treated coffee husks (CHt) or cellulose powder (Ce). Scanning electron microscopy was used to characterize unmodified or modified CPEs prior to their use. The electrochemical oxidation of PCT was investigated using square wave voltammetry (SWV) and cyclic voltammetry (CV). The oxidation current density of PCT was two-fold higher with the CPE-CHt sensor and 30% higher with CPE-Ce in comparison with the unmodified CPE, and this correlated with the higher hydrophilicity of the modified electrodes. Using SWV for the electrochemical analysis of PCT, carbon paste electrode… More >

Ronald Sabo^1*, Aleksey Yermakov², Chiu Tai Law³, Rani Elhajjar⁴

Journal of Renewable Materials, Vol.4, No.5, pp. 297-312, 2016, DOI:10.7569/JRM.2016.634114

Abstract Cellulose nanomaterials have a number of interesting and unique properties that make them well-suited for use in electronics applications such as energy harvesting devices, actuators and sensors. Cellulose nanofibrils and nanocrystals have good mechanical properties, high transparency, and low coefficient of thermal expansion, among other properties that facilitate both active and inactive roles in electronics and related devices. For example, these nanomaterials have been demonstrated to operate as substrates for flexible electronics and displays, to improve the efficiency of photovoltaics, to work as a component of magnetostrictive composites and to act as a suitable lithium ion battery separator membrane. A… More >