1. An impact switch, comprising:
a first member having a reservoir for holding a conductive fluid, wherein the conductive fluid comprises a combination of water and calcium chloride; and
a second member having a first conductive portion disconnected from a second conductive portion, the second member coupled to the first member over the reservoir; and
wherein, responsive to receiving a predetermined level of impact, the conductive fluid moves from the reservoir to an interface between the first and second members to conductively connect the first conductive portion with the second conductive portion.
2. The impact switch of claim 1, wherein a size of the reservoir and a viscosity of the conductive fluid are selected to obtain a desired activation sensitivity for the predetermined level of impact.
3. The impact switch of claim 1, wherein a mouth of the reservoir proximate to the second member comprises an angled surface to provide a capillary gap for the conductive fluid to wick into to conductively connect the first conductive portion with the second conductive portion.
4. The impact switch of claim 1, wherein each of the first and second conductive portions comprise connection points for electrically connecting the first and second conductive portions to an external device.
5. The impact switch of claim 1, wherein the first and second members are insertable into a cover.
6. The impact switch of claim 5, further comprising a first lead coupled to the first conductive portion and a second lead coupled to the second conductive portion, the first and second leads extending out of the cover.
7. An impact switch, comprising:
a first member having a reservoir for holding a conductive fluid; and
a second member having a first conductive portion disconnected from a second conductive portion, the second member coupled to the first member over an opening of the reservoir, wherein a capillary gap is formed over at least a portion of an interface between the first and second members, and wherein the second member comprises a printed circuit board having a split etch pad, the split etch pad forming the disconnected first and second conductive portions; and
wherein, responsive to receiving a predetermined level of impact, the conductive fluid moves from the reservoir to the interface and wicks into the capillary gap, the conductive fluid migrating within the capillary gap to conductively connect the first conductive portion with the second conductive portion.
8. The impact switch of claim 7, wherein a size of the reservoir and a viscosity of the conductive fluid are selected to obtain a desired activation sensitivity for the predetermined level of impact.
9. The impact switch of claim 7, wherein the opening comprises an angled surface to form the capillary gap.
10. The impact switch of claim 7, wherein the split etch pad is disposed over the opening.
11. The impact switch of claim 7, further comprising a cover, the first and second members slidably insertable into the cover and fixedly securable within the cover.
12. The impact switch of claim 11, further comprising a first lead connected to the first conductive portion and a second lead connected to the second conductive portion, the first and second leads extending out from the cover.
13. An impact switch, comprising:
an insert having a reservoir for holding a conductive fluid, the reservoir sized to retain the conductive fluid in the reservoir until a predetermined level of impact is received by the impact switch; and
an electronic assembly disposed over an opening of the reservoir, the electronic assembly having a first conductive portion extending over a first portion of a periphery of the opening and a second conductive portion extending over a second portion of the periphery of the opening, the first and second conductive portions disconnected from each other in a non-activated state of the impact switch, and wherein the electronic assembly comprises a printed circuit board having a split etch pad, the split etch pad forming the disconnected first and second conductive portions; and
wherein, responsive to receiving the predetermined level of impact, the conductive fluid moves from the reservoir to an interface between the insert and the electronic assembly and migrates along the periphery to conductively connect the first conductive portion with the second conductive portion in an activated state.
14. The impact switch of claim 13, wherein an internal bore size of the reservoir and a viscosity of the conductive fluid are selected to obtain a desired activation sensitivity for the predetermined level of impact.
15. The impact switch of claim 13, wherein a surface of the opening comprises a tapered surface.
16. The impact switch of claim 13, wherein a capillary gap is formed between the periphery of the opening and the electronic assembly such that the conductive fluid wicks into the capillary gap and migrates via capillary action along the periphery to conductively connect the first conductive portion with the second conductive portion.
17. The impact switch of claim 13, further comprising a cover, the insert and the electronic assembly slidably insertable into the cover and fixedly securable within the cover.
18. The impact switch of claim 17, further comprising a first lead connected to the first conductive portion and a second lead connected to the second conductive portion, the first and second leads electrically connectable to an external device located outside the cover.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer-implemented process for calculating page importance of a page on a mobile website, comprising:
inputting a web graph and its associated metadata;
building a Mirror Semi-Markov Process Model (MSMP) using the input web graph;
based on a transition probability matrix extracted from the web graph, computing a stationary distribution of an Embedded Markov Chain associated with the MSMP;
computing a mean staying time of a random web surfer on a web page; and
calculating a product of the transition probability and mean staying time as the page importance.
2. The computer-implemented process of claim 1, wherein the Mirror Semi-Markov Process Model depends on a previous state and a current state of web graph.
3. The computer-implemented process of claim 1, further comprising computing the mean staying time using the metadata associated with the web graph.
4. The computer-implemented process of claim 1, further comprising computing the mean staying time using the web graph.
5. The computer-implemented process of claim 1, further comprising using the computed page importance in a mobile web application.
6. The computer-implemented process of claim 1, further comprising using the computed page importance in an anti-spam application.
7. The computer-implemented process of claim 6, wherein a distribution of staying times varies according to previous pages visited by a random surfer traversing the web graph.
8. A computer-implemented process for calculating page importance of a page on a mobile website, comprising,
using a computer for,
generating a transition probability matrix of an Embedded Markov Chain associated with a Mirror Semi-Markov Process and a mobile graph;
calculating a stationary distribution of the Embedded Markov Chain;
for each page j of the mobile graph, extracting the number of inlink websites mi and the number of inlink pages, njk;
for each inlink page in the kth website of the mobile graph, extracting the outlink number ojkl, to compute a contribution probability of a web surfer coming from the kth website;
for each page of the mobile website, setting the exponential distribution of the average staying time on a page;
calculating the expectation of staying time for each page using the calculated contribution probabilities and exponential distribution of the average staying time;
computing the page importance scores for the mobile graph using the expectation of staying time for all pages and the stationary distribution.
9. The computer-implemented process of claim 8 further comprising computing the expectation of staying time for each page, while employing a punishing score for pages with a large number of inlinks from a website.
10. The computer-implemented process of claim 9 wherein the punishing score for pages with a large number of inlinks from a website is computing using a Reciprocal Discounting Function.
11. A system for determining web page importance, comprising:
a general purpose computing device;
a computer program comprising program modules executable by the general purpose computing device, wherein the computing device is directed by the program modules of the computer program to,
input a web graph and associated metadata;
create a Mirror Semi-Markov Process Model (MSMP) that depends on a previous state and a current state of the web graph;
compute an Embedded Markov Chain associated with the web graph and associated meta data;
using the Embedded Markov Chain to compute a transition probability;
computing a mean staying time using the metadata or the web graph;
computing the page importance as the product of the transition probability and the mean staying time.
12. The system of claim 11, wherein calculating the page importance is computed for a mobile web application.
13. The system of claim 11, wherein the page importance is computed for an anti-spam application.
14. The system of claim 11, wherein the web graph is a web link graph, and wherein each node in the graph represents a web page and each edge represents a hyperlink between two web pages.
15. The system of claim 11, wherein the web graph is a user browsing graph, and wherein each node in the graph represents a web page and each edge represents a transition between two web pages.
16. The system of claim 11, wherein the transition probability represents page reachability by a random web surfer, and wherein mean staying time represents page utility to a random web surfer.
17. The system of claim 11, further comprising obtaining mean staying times by observing the mean staying times of many random web surfers.
18. The system of claim 11, wherein in the MSMP depends on a previous state and a current state of web graph.
19. The system of claim 11, wherein for a large number of inlinks coming from a given website, staying time for this website is discounted.
20. The system of claim 11 further comprising normalizing the number of inlinks from all websites when computing mean staying time.