A Novel Energy-Efficient Approach for Human Activity Recognition

In this paper, we propose a novel energy-efficient approach for mobile activity recognition system (ARS) to detect human activities. The proposed energy-efficient ARS, using low sampling rates, can achieve high recognition accuracy and low energy consumption. A novel classifier that integrates hierarchical support vector machine and context-based classification (HSVMCC) is presented to achieve a high accuracy of activity recognition when the sampling rate is less than the activity frequency, i.e., the Nyquist sampling theorem is not satisfied. We tested the proposed energy-efficient approach with the data collected from 20 volunteers (14 males and six females) and the average recognition accuracy of around 96.0% was achieved. Results show that using a low sampling rate of 1Hz can save 17.3% and 59.6% of energy compared with the sampling rates of 5 Hz and 50 Hz. The proposed low sampling rate approach can greatly reduce the power consumption while maintaining high activity recognition accuracy. The composition of power consumption in online ARS is also investigated in this paper

Recycling of waste coal dust for the energy-efficient fabrication of bricks: a laboratory to industrial-scale study

In this study, an optimal mixture of loess brick clays and waste coal dust in laboratory hollow blocks production is determined with the aim of promoting sustainable development in terms of saving resources and energy. The novelty of the work lies in the first-time utilization of waste coal dust in combination with loess soil brick-making thus bolstering European effort on waste utilization. The mentioned is also in line with UN sustainable development goals, SDG 12 and 9. The chemical and mineralogical contents of the clays were obtained using various chemical characterization methods, and thermal behavior by using dilatometry and simultaneous DSC/TG analysis. The important ceramic and technological characteristics of the extruded brick clay and waste coal dust composite samples during molding, drying, and firing were obtained. The chosen mixture of 70 % calcareous clay and 30 % plastic clay to 3 % of high-calorie waste coal dust is found optimal. Industrial-scale optimal blocks (250x190x190 mm3) with 60 % of vertical voids were fired in a tunnel kiln, and the firing regime was recorded. It is determined that the regime must be corrected in the firing and cooling zone since the differences measured by thermo-couples were up to 180 °C. The industrial prototype was found to be of satisfactory quality meeting the requirements of water absorption and compressive strength as per European and other international standards. The study was first of a kind detailed characterization of the industrial size bricks encompassing waste coal dust and loess brick clays, with the emphasis on the usability in the industry, and additionally recording and correcting of the firing regime in a tunnel kiln. The product is recyclable and can be disposed of safely after the end of life

Junctional Adhesion Molecule 2 Mediates the Interaction between Hatched Blastocyst and Luminal Epithelium: Induction by Progesterone and LIF

National Basic Research Program of China [2011CB944402]; National Natural Science Foundation of China [30930013, 31071276]Background: Junctional adhesion molecule 2 (Jam2) is a member of the JAM superfamily. JAMs are localized at intercellular contacts and participated in the assembly and maintenance of junctions, and control of cell permeability. Because Jam2 is highly expressed in the luminal epithelium on day 4 of pregnancy, this study was to determine whether Jam2 plays a role in uterine receptivity and blastocyst attachment in mouse uterus. Methodology/Principal Findings: Jam2 is highly expressed in the uterine luminal epithelium on days 3 and 4 of pregnancy. Progesterone induces Jam2 expression in ovariectomized mice, which is blocked by progesterone antagonist RU486. Jam2 expression on day 4 of pregnancy is also inhibited by RU486 treatment. Leukemia inhibitory factor (LIF) up-regulates Jam2 protein in isolated luminal epithelium from day 4 uterus, which is blocked by S3I-201, a cell-permeable inhibitor for Stat3 phosphorylation. Under adhesion assay, recombinant Jam2 protein increases the rate of blastocyst adhesion. Both soluble recombinant Jam2 and Jam3 can reverse this process. Conclusion: Jam2 is highly expressed in the luminal epithelium of receptive uterus and up-regulated by progesterone and LIF via tyrosine phosphorylation of Stat3. Jam2 may play a role in the interaction between hatched blastocyst and receptive uterus

exploring an adaptive architecture for service discovery over manets

What a service discovery system (SDS) pursues is to successfully discover the services at low costs if the qualified ones exist. However, dynamics and diversification in MANETs increases the complexity to achieve SDS's goal. This paper develops a SDS over MANETs named SCN4M-H. To enhance system quality, SCN4M-H combines two architecture styles and provides two working modes: basic mode and volunteer mode. In the basic mode, nodes in SCN4M-H work together as peer partners, mapping and discovering the services in a P2P style, and in the volunteer mode, the nodes who declare as volunteers will play the role of servers, they are responsible for dealing with the service discovery requests targeted for the nodes within specified regions. Depending on their own states as well as their neighbors' states, nodes in SCN4M-H can switch automatically from one mode to another. Moreover, two working modes can coexist in SCN4M-H at the same time, which enables a service discovery request to be dealt with in a locally optimal way. Some system properties are revealed and then extensive experiments are conducted. Experimental data indicate that SCN4M-H adapts well to various dynamic scenarios and shows satisfying software quality in terms of discovery success rate and corresponding costs. © 2011 Springer-Verlag

a service discovery system analyzed with a queueing theory model

IEEEService discovery is indispensable to both resource sharing and service integration in the Internet/Grid. In the face of enormous and various services which scatter in the Internet/Grid, the central issue needed to be addressed by a service discovery system is how to quickly shrink the search scope and exactly locate the desired services. Moreover, since simulation experiments are limited in the number of server nodes, the number and diversification of services etc., which are much less than the real ones in the Internet/Grid, it is necessary to predict the behaviors of service discovery systems and check whether these systems reach their design goals before deploying them by theoretical modeling. This paper develops a service discovery system named SCN4I, which builds an accurate index in the form of a distributed suffix tree to speed up the discovery procedure. Moreover, the paper employs open Jackson network to model SCN4I. Experiments are also conducted to verify the model. Furthermore the model is used to calculate SCN4Is performance bounds and help choose proper deployment policies. Our modeling approach can also be applied to the other service discovery systems for the Internet/Grid

Numerical Modeling of Earthquake Cycles Based On Navier‐Stokes Equations With Viscoelastic‐Plasticity Rheology

Abstract Visco‐elastic‐plastic modeling approaches for long‐term tectonic deformation assume that co‐seismic fault displacement can be integrated over 1000s–10,000s years (tens of earthquake cycles) with the appropriate failure law, and that short‐timescale fluctuations in the stress field due to individual earthquakes have no effect on long‐term behavior. Models of the earthquake rupture process generally assume that the tectonic (long‐range) stress field or kinematic boundary conditions are steady over the course of multiple earthquake cycles. This study is aimed to fill the gap between long‐term and short‐term deformations by modeling earthquake cycles with the rate‐and‐state frictional (RSF) relationship in Navier‐Stokes equations. We reproduce benchmarks at the earthquake timescale to demonstrate the effectiveness of our approach. We then discuss how these high‐resolution models degrade if the time‐step cannot capture the rupture process accurately and, from this, infer when it is important to consider coupling of the two timescales and the level of accuracy required. To build upon these benchmarks, we undertake a generic study of a thrust fault in the crust with a prescribed geometry. It is found that lower crustal rheology affects the periodic time of characteristic earthquake cycles and the inter‐seismic, free‐surface deformation rate. In particular, the relaxation of the surface of a cratonic region (with a relatively strong lower crust) has a characteristic double‐peaked uplift profile that persists for thousands of years after a major slip event. This pattern might be diagnostic of active faults in cratonic regions