WO2014122661A1

WO2014122661A1 - Method for customizing and presentation of data units according to user's field of interest and detailed depth

Info

Publication number: WO2014122661A1
Application number: PCT/IL2014/050143
Authority: WO
Inventors: Said YASSIN
Original assignee: Yassin Said
Priority date: 2013-02-05
Filing date: 2014-02-11
Publication date: 2014-08-14

Abstract

A method for customizing and delivering customized data unit. The information in each data unit can be distributed across number of variables; mostly this variable contains several areas of interest, the data according each area of interest will be in many deepening levels, according to these two variables data unit will be distributed in two dimensions. An interest varies from one person to another; the depth of desired information in each area of interest is different. Flexibility of data units enables different users to receive data in the desired field and in the desired depth. This invention introduces a method to perform this task, according to this method every data unit will be splitting to multi subunits, these subunits classified according to the number of the variables that presents in the data unit. The splitting will be performed such that every sub unit contains complete idea, these subunits linked according to the logic structure of the whole unit. Thereby different users can receive deferent portions of whole data unit, depending on their preference for deepening level of every field of interest.

Description

PRESENTATION OF DATA UNITS ACCORDING TO USER'S FIELD OF

INTEREST AND DETAILED DEPTH

[I] CUSTOMIZER

[2] BACKGROUND OF THE INVENTION-FIELD: this application relates to customization of data, specifically to such data units in special structure; data unit divided into multi-graded deepening levels allowing automatic customization.

[3] ABSTRACT

[4] A method for customizing and delivering customized data unit. The information in each data unit can be distributed across number of variables; mostly this variable contains several areas of interest, the data according each area of interest will be in many deepening levels, according to these two variables data unit will be distributed in two dimensions. An interest varies from one person to another; the depth of desired information in each area of interest is different. Flexibility of data units enables different users to receive data in the desired field and in the desired depth. This invention introduces a method to perform this task, according to this method every data unit will be splitting to multi subunits, these subunits classified according to the number of the variables that presents in the data unit. The splitting will be performed such that every sub unit contains complete idea, these subunits linked according to the logic structure of the whole unit. Thereby different users can receive deferent portions of whole data unit, depending on their preference for deepening level of every field of interest.

[5]

[6] BACKGROUND

[7] Necessity:

[8] The information provided in units of information, a block of interconnected information, information package which was intended to complete the story. Packet of information sometimes unifying within various topics with various areas of interest, in the packet information describes ideas which are linked logically to describe a tale.

[9] In a geographical context, Person driving / walking/ tourist / tripper going through

'Points Of Interest'(POI); Environment importance areas, places in which historical events had occurred or distinctive geological areas or archaeological, scientific, technological or industrial interest sites, etc... People have a passion to learn about these places. If the information they receives meet there interest and the level of information that they get fits to their level of knowledge; this information be obvious and will understand in high efficacy, then these sources of knowledge will be very useful and very beneficial. But if the information will not be customized it will be boring and useless.

[10] PRIOR ART

[I I] Technologies exist for the purpose of providing information about points of interest to users. The information provided in the existing technologies make customization to users by selecting the appropriate targets, for example choosing a route that will include points of interest of a kind that a user want. Data units offered in a permanent structure ; so provided data units has no flexibility.

[12] WO 02/084536 Al, disclose system and method for delivering experiences about tourists attractions sets.

[13] Document in question uses much the term 'customization', declared about ability to provide custom information, but the description disclose about matching points of interest to user. Customizations made by document in question is while editing the track and selecting the subject matter of the points of interest. Matching is performed in exactly the same manner as a human tour guide makes adjustments when he/she leads tourists. He/she chooses the path that contains the points of interest of a kind that tourists are interested, contrary to a human guide the system in question at any point of interest provides the same pattern of information, unlike a human instructor usually provide the information in different variations. Document in question, also uses the term 'levels', but when finding out the meaning that it describes we find that the technique is to creating different variations of different points of interest, such as choosing different routes. The classification principle states that points of interest are classified by level of appeal. Points of interest are grouped in to appeal categories. 'Customization' of the provided knowledge is not based on the level of depth of information provided about a particular point of interest, but rather based on the appeal level of the POL Another personalization specifies in the document is in the entertainment additions. These additions are recorded material with an affinity to the points of interest. These recordings do not belong to the story of the point of interest, neither to the location of the POL Document in question does not work automatically; it requires user intervention to obtain information about every point of interest.

[14] SUMMARY :

[15] An objective of the invention is to processing data units in order to make it suitable for automatic delivering portions of the data unit according to the user needs. To realize this idea every data unit will be splitting to multi subunits, these subunits classified according to the number of the variables that presents in the data unit. The splitting performing such that every sub unit contains complete idea, these ideas linked so that they keep the logical structure of the whole concept. Thereby different users can receive their own concept structured by deferent portions of whole concept of the data unit, depending on their preference for deepening level of every field of interest.

[16] An objective of the invention is to processing data units in order to make it suitable for automatic delivering portions of the data unit according to the user needs

[17] According to one embodiment, the main idea proposed for implementation of this invention is a method' devices and system providing users with custom information in accordance with his preference. In this application displayed a method for customizing data units and method for automatic delivering custom information.

[18] To optimize the customization process should get into consideration the way of thinking and understanding of the user. Cognitive science has identified a number of patterns of thinking, including two emits patterns, one that fits understanding that goes from the General To Details (General To Details pattern), and for the second is better to provide the details and through constructs the whole concept (Details to Whole pattern).

[19] According to one embodiment of this invention, delivering process goes according to the logic structure of the subunits. That fit the first pattern.

[20] According to another embodiment of this invention delivering process goes

according to a degree of compatibility of the subunits to specific user, without concerning to the logical Interdependence. That fit the second pattern.

[21] Another embodiment will be possible.

[22] An example to illustrate the concept of 'levels', the information in this example can be edited in a more professional manner, even can be added many more levels on the power plant and how it works. Quality of the information is not objective at this stage, it is only to illustrate the significance of the division of POI information to multiple subtopics and rank them in depth professional to multiple levels.

[23] The example: Rider near the Power station, the system must provide information.

For this purpose, the information about the POI will be distributed to levels such as the following,

[24] First level: (definition) Orot Rabin (lit. Rabin Lights) is a coal -fired power station situated on the Mediterranean coast in Hadera, Israel . It is owned and operated by Israel Electric Corporation (IEC). IEC website, Orot Rabin' has a production capacity of about 2,500 MW, representing approximately 22% of electricity production in Israel.

[25] Second level: ( engineering )Today the plant is Israel's largest power station with its 2,590 MW representing 23% of the Israel Electric Corporation's total generation capacity ( that is, until phase D expansion at the Rutenberg power station in Ashkelon is built, at which point the latter will surpass Orot Rabin as Israel largest plant). The plant burns 18,000 tons of coal every 24 hours and uses 320,000 tons of seawater every hour. [1] It is also possible to operate the station using fuel or crude oil . In 2009, a large desalination plant was built adjacent to the power station.

[26] Flue gas stack 3 of the power station is 300 metres (980ft) tall, making it Israel's second-tallest structure after the towers of the Dimona Radar Facility.

[27] Third level: (History) Construction of the station began in 1973 and it began operating in 1981 ( unit 1). A coal port is attached directly to the station which supplies all its coal consumption needs. Its total generating capacity is 2,590 MW of electricity using the six power generating units ( two large units and four smaller units) located at the site. The plant's overall design can accommodate two additional large units to be built at a future date.

[28] Originally the power station was named Maor David after David Shiffman , then- chairman of the IEC who died during its lengthy period of construction. However, after the completion of a major expansion of the station in the 1990s and the assassination of Yitzhak Rabin , the station was renamed in his honor to Orot Rabin, for 'Rabin Lights '.

[29] Forth level: (Environment - pollution ) Orot Rabin has been accused of polluting the nearby Hadera Stream. [2 ] Greenpeace claims that the station pollutes the sea water when coal is unloaded from ships and the sea water used for cooling the plant ends up in the Hadera River which harms wildlife. [3 ]

[30] Sixth level: : (chemistry )Emissions reductions on coal units 'Orot Rabin'

[31] IEC website, 'Orot Rabin' in her room, has a production capacity of about 2,500

MW, is a widespread project to reduce emissions of nitrogen oxides and sulfur oxides.

[32] The project is part of an extensive, improvement in reducing emissions of air

pollutants from coal-fired generating units of the company in her room - 'Rabin Lights' and Ashkelon - Rotenberg'.

[33] In the first stage, the company is building on 'Orot Rabin' facility removers - FGD to reduce sulfur dioxide and a catalyst - SCR reducing nitrogen oxides in two northern units whose number 5,6. The second stage will be converted to natural gas units 1,2,3,4 old.

[34] Scrubbers, corrects the SCR and the conversion to gas will contribute to a reduction of about 90% sulfur - dioxide and nitrogen oxides from the site.

[35] Seventh level: ( chemistry ) What are the removers ?

[36] Removers (FGD - Flue Gas Desulphurization) are facilities through which remove the sulfur - dioxide, emitted by coal burning process. Were detached action based on the process of adsorption of sulfur - dioxide dissolved the limestone in the water.

[37] The solution is based on the process of 'wet absorption' of sulfur - dioxide suspension limestone. At the end of the process are emitted from the chimney also water vapor, visible white fuzz. In addition, the facility received appropriate quality cast construction industry in Israel to create plaster walls.

[38] For the construction of a chimney scrubbers established a new site at 250 m, the height of two existing chimneys in the southern part of the site.

[39] Same technology has been around for several years on 'Rotenberg' Ashkelon and the world for many years. IEC accumulated experience and good operation of this technology.

[40] What is the catalyst?

[41] Treatment facility in nitrogen oxides Selective Catalytic Reduction SCR. Operation of the SCR system involves the injection of gases emitted by burning fuel and creating a process of redox (oxidation - reduction) of nitrogen oxides into nitrogen and water.

[42] DRAWING REFERENCE NUMERALS

[43] 1. 1- Data unit is divided to multi subunits.

[44] 1. 2- Fields of interest for subunits located in same column.

[45] 1. 3- Identification subunit of the data unit.

[46] 1. 4- Subunit.

[47] 1. 5- Subunit that the user not interest to receive.

[48] 1. 6- Arrow linking subunits in a logical order of the data unit.

[49] 1. 8- Character refers to the field of interest. Number refers to deepening level number.

[50] 1. 10- Number refers to degree of compatibility.

[51] 1. 12- Serial number of the order of delivery of sub-units.

[52] 1. 14- Bunch compatibility that is average of degree of compatibility for unnumbered sub-units on the branch.

[53] 1. 16- Arrow linking subunits according to the delivery order.

[54] 1. 17- Data unit processed for user according to preference 'Α'.

[55] 1. 18- Data unit processed for user according to preference 'Β'.

[56] 1. 19- Data unit processed for user according to preference 'C

[57] Brief description of the drawings

[58] FIG. 1 a processed data unit for customization; data unit was divided into multi deepening level according to relevant field of interest.

[59] FIG. 2 processed data unit, on each subunit specified degree of compatibility

according to specific preference 'Α', and threshold chosen at the value 45.

[60] FIG. 3 to processed data unit of Fig 2 was added on each subunit a number refer to order of delivering.

[61] FIG. 4 the same processed data unit of Fig 1 on each subunit (4) specified degree of compatibility according to preference 'B', and same threshold chosen at the value 45.

[62] FIG. 5 view same data unit customized according to two deferent users/ preferences ('A' and 'b') according to 'General to Details' pattern.

[63] FIG. 6 processed data unit of Fig 1, on each subunit specified degree of compatibility according to specific preference 'C, and threshold chosen at the value 45. And added on each subunit a number refer to order of delivering according to deferent ordering principle, which is 'Details to Whole' pattern.

[64] FIG. 7 views delivering order of customized processed data unit of Fig6. [65] FIG. 8 describes the manner of connecting data units in a list.

[66] FIG. 9 describes the system include central data base and multi devices able to communicate.

[67] DETAILED DESCRIPTION

[68] According to one embodiment,

[69] Every data unit intended to customization passes a preparing process. This process splitting every data unit to multi sub units. The splitting will be performed such that every sub unit contains complete idea, these ideas linked so that they keep the logical structure of the whole concept, this situation is described in Figl, every subunit(4) classified according to number of variables that are in the data unit, mostly be field of interest(4) and deepening level. In order to customize data unit (1) to specific user will calculating a degree of compatibility (10) for every subunit (4) to the user. The degree of compatibility is a value calculated using the user's parameter and the parameter of the sub units, this value(lO) specify in Figure 2 on each subunit. In order to calculate this value many functions can be fit. According to one embodiment of the present invention, first we calculate the correlation between analogous parameters. To illustrate correlation between user's preference and the average of professional assessment and user's rating, and calculating correlation between deepening level required by the user and deepening level score of the data sub unit, summing two correlation values and multiply the result by factor that Increases with time and strives to a maximum value, as example (1-exp (-t/T)) where t: time, T: parameter describes typical time decline of the reminded, dependent of the user. In this figure (Fig2) also illustrated threshold of the degree of compatibility. Sub units compatibility under this threshold will be ignored. In order to illustrate the subunits (5) are under threshold they are shown in dark color. At this stage, have prepared the data unit (Fig 1) and calculate the degree of compatibility (Fig 2). Next stage, is to determine the delivery order (12), it is related to the user's logical thinking/understanding pattern. Cognitive science has recognized many patterns, including two emits patterns, one that fits understanding that goes from the General To Details (General To Details pattern), and for the second is better to provide the details and through constructs the whole concept (Details to Whole pattern). Figure 3 and Figure 4 illustrates General to Details pattern for two different users I.e. two different preferences. Comparison these two figures illustrates the difference in the type and depth of the information designed for each of them.

Figure 5 shows two lists (17 and 18) of data subunits (4) in the delivering order, these two lists (17 and 18) located side by side in order to facilitate identification of differences in the type and order of the data that have been designed to fit for each of them. This is an example which illustrates the significance of the customization. Delivering order goes with the logical structure. Beginning from the identification subunit and going with the logical structure while numerates the subunits. At every brunch choosing the brunch with high value of bunch compatibility (14), which is average of degree of compatibility for un-numbered sub-units on the branch, so on until the branch edge, then going back and marking at every subunit ignoring sign, until gets the previous branch. Then chosen highest bunch compatibility and going forward while numerating the unnumbered subunit. Repeating the above process until all the subunits of the data unit is ignored. Thereby, all the subunits are above the threshold are numerated in the delivering order.

[70] Figure 6 illustrate 'Details to Whole' pattern according to different user 'C I.e.

different preference. In this figure specified degree of compatibility (10) and delivering order (12). Delivering order determined by ranking according to the degree of compatibility. Figure 7 shows delivering subunits list. Note that successive subunits are not connected according to the content sequence. Successive subunits may provide separate sub concepts. According to these sub concepts the receiver will generate the whole concept.

[71] After decided about data subunits combatable for deliver and determining the delivering order obtaining customized data unit shown in Fig 5 and Fig 7, these customized data units will be connected as a list according to delivering order. Fig 8 illustrate the manner of connecting these customized data units; first adding note to specify the user's temporary details, and adding two pointers, one to a next customized data unit, another to previous customized data unit.

[72] Figure 9 describes the system include central data base and multi devices able to communicate. For POI with geographic context the device is able to operate in a fully automatic mode; able to detect POI in the user surrounds, detect POI in surrounding area and able to customize the relevant data units, ranking these data units in delivering order and provide the information to the user. If the user changes his location the system will Rearranging delivering data. Said ranking these data units in delivering order will performs according to many factors, according to one embodiment, is POIs degree of interest and distance to point of interest, travel direction and speed.

[73] CONCLUSION, RAMIFICATIONS, AND SCOPE

[74] In conclusion, the reader will see that according to one embodiment of the present invention, I provide methods, device and system that is capable of :

[75] Informing the user about the existence of Points Of Interest in the surrounding area.

[76] The system provides information about the detected Points of Interest.

[77] The system provides information about Points of Interest in a wide variety of disciplines.

[78] The system provides high-quality, professional and reliable information.

[79] The system provides information adjusted to the level of interest and to the in- clinations of the user. For example, devices for different users in the same place can provide different information. The system will provide one user with a lot of information about the environment and its components, animals and plants, etc., along with some archaeology and history. Alternately, for example, the system provides a little bit about the environment and ecology, and a lot about history and archeology. Moreover, the system also provides a lot of information about industrial and natural resources, and a bit about history, and so on.

This system can operate in full automatic mode; it can identify the Points of Interest, locates the relevant information, and organizes the Points of Interest according to the level of importance vis-a-vis the user. The device manages the information display. For example, in the case of driving, the device allocates section of the road which is most appropriate to display information concerning each Point of Interest. The device fits the level of deepening to the user's requirements.

The device releases the user from dealing with information management and displaying. The devise works with fully automatic operation, in a way that will leave the user free physically and mentally. In other words, operating the device will not be the concern the user. Therefore, the user can be free for other tasks like driving safety, or just focusing on absorbing the provided information.

While the above description contains much specificity, these should not be construed as limitations on the scope of any embodiment, but rather as exemplifications of the presently preferred embodiments thereof. Many other ramifications and variations are possible within the instructions of the various embodiments. For example, the User's Surrounding Area can have any closed form, without being limited to circular or rectangular forms. It can have an elliptical or hexagonal shape. Other different forms are possible as well.

Or, for example, various embodiments may contain various parameters for setting priorities for the presentation of the Points of Interest, such as a parameter that describes that the user received this information in the past, and the number of times that he received this information about a particular Point of Interest. The adjustments made in the last use will prioritize the order of presenting this Point of Interest, and will affect choosing deepening levels that will be displayed on POL

Thus, the scope of the invention should be determined by the appended claims and their legal equivalents, and not by the examples given.

Claims

Claims [Claim 1] [Claim 2] CUSTOMIZER WHAT CLAIM IS:

1. A method for preparing a data unit for customized use, comprising:

providing said data unit,

splitting said data unit to plurality of a subunit according to presets features,

adding to every subunit a linked pointers to following said subunits, ranking and scoring said plurality subunit according to deepening level, valuating and scoring every said subunit,

thereby is possible to choose different said subunits according to suitability between the parameters of said subunit to a user's parameters,

2. The method of claim 1 wherein said features comprising:

deepening level,

3. The method of claim 1 wherein said features comprising: field of interest,

4. The method of claim 1 wherein said valuating is according to a valuation parameters that comprising professional assessment of knowledge,

5. The method of claim 4 wherein said valuation parameters comprising an importance parameter of said subunit,

6. The method of claim 5 wherein said importance parameter comprising number of said linked pointers,

7. The method of claim 4 wherein said valuation parameters comprising users' rating,

8. A method for determining a degree of compatibility of said subunits for said use, comprising:

providing said prepared data unit according to claim 1,

providing said user's parameters,

calculating a subunit compatibility parameter by acting a predefined function about said user's parameters and the subunit parameters, thereby: obtaining compatibility parameter for every subunit in said data unit,

9. The method of claim 8 wherein said user's parameters comprising user's presetting parameter.

10. The method of claim 8 wherein said user's parameters comprising user's extent of interest of every interest field.

11. The method of claim 8 wherein said user's parameters comprising a user history is parameter depends in previous delivering of specific subunit.

12. The method of claim 8 wherein said user's parameters comprising a system assessment about user preferences based on information that the system collects about the user preference while using the system.

13. A method for determining delivering order of compatible said subunits for said use, comprising:

providing said prepared data unit,

providing said degree of compatibility of said subunit of said data unit , providing a threshold for degree of compatibility, such that every said subunit determined with degree of compatibility under said threshold will not be delivered,

ignoring said subunits under said threshold,

establishing list for delivering rank of the data subunits to said user according to a user's criteria,

thereby said subunits of said data unit is ranked in a delivering list,

14. the method of claim 13 wherein said user's criteria is by ranking according to user's presetting of knowledge field preference,

15. the method of claim 13 wherein said user's criteria is by ranking said degree of compatibility of said subunits,

16. the method of claim 13 wherein said user's criteria comprising steps method:

a. setting a list prime number at head subunit of logic structure, and

b. numerate following said subunits, follow up in their logic linked order, until first split said subunit,

c. calculating said a branch compatibility

d. choosing branch with highest said branch compatibility, e. numerate following un numbered said subunits, follow up in their logic linked order, until next split said subunit or branch edge, and

f. if did not get branch edge, going to clause 'c', else g. ignoring latest branch, and

h. came back to Last split said subunit,

i. going back to 'c', until all said subunits was ignored.

Thereby all said subunits are ranked in Single chain.

17. the method of claim 16 wherein said branch compatibility is average over said degree of compatibility of the branch unnumbered subunits.

18. the method of claim 16 wherein said branch compatibility is maximum said degree of compatibility of the branch unnumbered subunits.

19. A user's device for providing custom information comprising: a. A surrounding area manager means for manage user surrounding area and determining POI in a user surrounding area, b. A user interface means for an input data and for an output data, c. a POI customizer means for determining subunits for delivering and determining delivering subunits order of every POI data unit are suitable to predilection of current user,

d. a presentation priority determinator, means for determining said POIs presentation order, according to a POI degree of interest,

e. a data manager means, comprising of:

i. a processor means for executing formulas,

ii. an object program means that is plurality of formulas for performing transferring data between the user's device units. iii. a database that is a sub-device for storing and retrieving a data units adapted to store and retrieve data units separate to multi levels,

iv. a communication unit that is a sub-device for transferring data between said user's device and central database, directly or through communication network,

Thereby said user's device is able to announce about existence of points of interest, and provide customized information about said points of interest operate in a full automatic mode.

20. The user's device of claim 19 wherein said POI degree of interest is weighted average of said degree of interest of said subunits of said POI,

21. The user's device of claim 19 wherein said POI customizer is means for processing said methods of claim 8 and method of claim 13 ,

22. The user's device according to any one of claims 19 to 21 wherein said input data means is further adapted to receive a user's virtual location data.

23. A central database which is a device for storing and retrieving a data and providing said data to plurality of said user's device, adapting to storing and retrieving a data units dividing to a multi data subunits, compressing,

i. a POI customizer means for determining subunits for delivering and determining delivering subunits order of every POI data unit are suitable to current user,

ii. a presentation priority determinator, means for determining said POIs presentation order, according to a POI degree of interest,

whereby: said central database is able to provide said plurality of user's device, by said data include data units and said data subunits of said data unit.

24. The user's device of claim 23 wherein said POI degree of interest is weighted average of said degree of interest of said subunits of said POI,

25. The user's device of claim 23 wherein said POI customizer is means for processing any one of said methods of claim 8to claim 12 and with any one of method of claim 13 to 18 claims ,

26. The user's device according to any one of claims 23 to 25 wherein said data input means is further adapted to receive a user's virtual location data.

27. A system comprises two components :

a. a central database network, according to claim 23, and b. plurality of a user's device according to claim 19,

said user's devices and said central database are able to communicate directly or by communication network, thereby,

said system able to Announce about existence of points of interest , and to provide costumed information, with any said user's device, about said points of interest.