1. A stacked structure comprising a first region, a second region, a third region, a fourth region, a fifth region, and a sixth region,
wherein the first region includes a first base, a second base, and a spacer,
wherein the second base overlaps with the first base,
wherein the spacer in the first region is positioned between the first base and the second base,
wherein the second region is positioned on the outer side of the first region,
wherein the second region includes the first base and the second base,
wherein the third region is positioned on the outer side of the second region,
wherein the third region includes the first base, the second base, and a spacer,
wherein the spacer in the third region is positioned between the first base and the second base,
wherein the fourth region is positioned on the outer side of the third region,
wherein the fourth region includes the first base, the second base, and a bonding layer therebetween,
wherein the fifth region is positioned on the outer side of the fourth region,
wherein the fifth region includes the first base, the second base, and a spacer,
wherein the spacer in the fifth region is positioned between the first base and the second base,
wherein the sixth region is positioned between the fourth region and the fifth region, and
wherein the sixth region includes terminal portion.
2. The stacked structure according to claim 1, wherein the spacer in each of the first region, the third region, and the fifth region is capable of spacing the first base from the second base.
3. The stacked structure according to claim 1, wherein the bonding layer surrounds the first region and is in contact with the first base and the second base.
4. The stacked structure according to claim 1, wherein the bonding layer is further included in the first region, the second region, the third region, and the fifth region between the first base and the second base.
5. The stacked structure according to claim 1,
wherein the first region, the second region, and the third region include an insulating layer, and the insulating layer is positioned between the first base and at least one of the spacer in the first region and the spacer in the third region,
wherein the fifth region includes an insulating layer between the first base and the spacer, and
wherein the insulating layer in the fifth region includes a first part overlapping with the spacer and a second part not overlapping with the spacer, and
wherein the second part is thinner than the first part.
6. The stacked structure according to claim 1,
wherein the first region further includes a light-emitting element,
wherein the first region, the second region, the third region, and the fourth region include a wiring electrically connected to the light-emitting element,
wherein the terminal portion is electrically connected to the light-emitting element, and
wherein the first region, the second region, and the third region include an insulating layer in contact with the wiring.
7. A method for manufacturing a stacked structure, comprising:
a first step of preparing a first base on which a first spacer and a second spacer are formed and a second base and forming a bonding layer on at least one of the first base and the second base;
a second step of arranging the first base and the second base with the first spacer, the second spacer, and the bonding layer interposed therebetween in a first environment;
a third step of setting a second environment after the second step, wherein pressure in the second environment is higher than pressure in the first environment; and
a fourth step of curing the bonding layer,
wherein the stacked structure comprises a first region, a second region, and a third region,
wherein the second region is positioned on the outer side of the first region,
wherein the third region is positioned on the outer side of the second region,
wherein the first spacer is included in the first region,
wherein the second spacer is included in the third region, and
wherein the second region includes a terminal portion.
8. The method according to claim 7, wherein the pressure in the second environment is an atmospheric pressure.
9. The method according to claim 7, wherein the bonding layer is expanded between the first base and the second base in the third step.
10. The method according to claim 7, further comprising:
a fifth step of separating the third region from the second region.
11. The method according to claim 10, further comprising:
a sixth step of exposing the terminal portion.
12. A semiconductor device comprising:
a first region including a light-emitting element;
a second region including a terminal portion, wherein the terminal portion is electrically connected to the light-emitting element; and
a third region including a spacer,
wherein the second region is positioned on the outer side of the first region, and
wherein the third region is positioned on the outer side of the second region.
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 method for analyzing and managing business performance by designing and evaluating the performance of business process models, comprising the steps of:
using a computer or computer platform to create a business process model comprising a flow of business tasks and artifact sources that generate business artifacts, each of said business tasks and artifact sources being rendered in a machine-readable format which includes a machine-readable identifier and one or more attributes further characterizing each business task and artifact source;
loading into said computer or computer platform digitally-stored transformation knowledge specifying one or more types of transformation opportunities, each of which comprises one or a plurality of transformation conditions, one or a plurality of transformation rules, and one or a plurality of business value attributes comprising at least one of cost and development time;
parsing the business process and identifying transformation opportunities that are parts of the business process meeting one of the transformation conditions, each of which is specified for each type of transformation opportunity in said digitally-stored transformation knowledge;
adopting one or more transformation opportunities that are identified in the previous step and transforming the parts of the business process according to the corresponding transformation rules, each of which is specified for each type of transformation opportunity in said digitally-stored transformation knowledge;
employing one of analytics and computer simulation to evaluate investment cost and development time for the transformation according to the information on business value attributes comprising at least one of cost and development time that is specified for each type of transformation opportunity in said digitally-stored transformation knowledge, and other business performance metrics of each of said transformed business processes, said business performance metrics including evaluation of cost, resource utilization, maximum process throughput, and process cycle time;
employing data processing in said computer or computer platform to manage the business performance of each of said transformed business processes by making iterative changes to said business processes or artifact sources and reiterating said transformation and evaluation steps until a satisfactory business process model is obtained; and
producing as output from said computer or computer platform a business process model in machine-readable format.
2. The method according to claim 1, wherein said business process model produced as output is deployed to a live computing environment.
3. The method according to claim 1, wherein said analytics and computer simulation include a determination of the total cost of ownership of said transformed business process.
4. The method according to claim 1, wherein said analytics and computer simulation include a computer-implemented analysis of tradeoffs between performance indicators at the business and information technology levels.
5. The method according to claim 1, wherein said step of creating a business process model includes the use of a model annotation tool capable of annotating said business performance models with attributes related to middleware and hardware.
6. The method according to claim 5, wherein said analytics and computer simulation include a model transformation engine capable of expanding said annotated business performance models into information technology models by referencing a machine-readable middleware or hardware library, said middleware library containing models of a collection of middleware and said hardware library containing models of a collection of hardware.
7. The method according to claim 6, wherein data about future business is input to said models for the computer-implemented prediction of future business performance.
8. A system for analyzing and managing business performance by designing and evaluating the performance of business process models, comprising:
a computer or computer platform, employed to create a business process model comprising a flow of business tasks and artifact sources that generate business artifacts, each of said business tasks and artifact sources being rendered in a machine-readable format which includes a machine-readable identifier and one or more attributes further characterizing each business task and artifact source;
means for loading onto said computer or computer platform digitally-stored transformation knowledge specifying one or more types of transformation opportunities, each of which includes one or a plurality of transformation conditions, one or a plurality of transformation rules, and one or a plurality of business value attributes comprising at least one of cost and development time;
means for parsing the business process and identifying transformation opportunities that are parts of the business process meeting one of the transformation conditions, each of which is specified for each type of transformation opportunity in said digitally-stored transformation knowledge;
means for adopting one or more transformation opportunities that are identified in parsing the business process and transforming the parts of the process according to the corresponding transformation rules each of which is specified for each type of transformation opportunity in said digitally-stored transformation knowledge;
means for employing one of analytics and computer simulation to evaluate investment cost and development time for the transformation according to the information on business value attributes comprising at least one of cost and development time that is specified for each type of transformation opportunity in said digitally-stored transformation knowledge, and business performance metrics of each of said transformed business processes, said business performance metrics including evaluation of cost, resource utilization, maximum process throughput, and process cycle time,
a data processor employed to manage the business performance of each of said transformed business processes by making iterative changes to said business processes or artifact sources and reiterating said transformation and evaluation steps until a satisfactory business process is obtained, and
means for producing a business process model in machine-readable format produced as output.
9. The system according to claim 8, wherein said business process model produced as output is deployed to a live computing environment.
10. The system according to claim 8, wherein said analytics and computer simulation include a determination of the total cost of ownership of said transformed business process.
11. The system according to claim 8, wherein said analytics and computer simulation include analysis of tradeoffs between performance indicators at the business and information technology levels.
12. The system according to claim 8, wherein creation of said business process model includes the use of a model annotation tool capable of annotating said business performance models with attributes related to middleware and hardware.
13. The system according to claim 12, wherein said analytics and computer simulation include a computer-implemented model transformation engine capable of expanding said annotated business performance models into information technology models by referencing a middleware or hardware library, said middleware library containing models of a collection of middleware and said hardware library containing models of a collection of hardware.
14. The system according to claim 13, wherein data about future business is input to said models for the computer-implemented prediction of future business performance.
15. A computer-implemented method for analyzing and managing business performance by designing and evaluating the performance of business performance models, comprising the steps of:
using a computer or computer platform to construct or modify a business process model and specify a what-if scenario;
identifying transformation opportunities by a transformation engine, which references a knowledge store, and digitally storing said transformation opportunities for access by said computer or computer platform;
transforming a business process model by a transformation engine according to a transformation opportunity;
evaluating the performance of a transformed process model and generating a business performance report;
comparing a business performance report against a predetermined performance objective;
employing data processing in said computer or computer platform to determine business performance is satisfactory or all transformation opportunities are exhausted and, if business performance is not satisfactory and transformation opportunities have not been exhausted, making iterative changes to a business process and reiterating transformation and evaluation steps until a satisfactory business process model is obtained; and
producing as output from said computer or computer platform a business process model in machine-readable format.