; ; ; ; Updated in 2024 : July : 10th (Wednesday): Biometric recognition and RFID based systems;

; ; ; ; Updated on 10 : 7 : 2024 : Biometric recognition & RFID ;

。

				RFID	_	electro	_	vector	;
				RFID	_partial	_c60	;
				RFID	_RSA	_	security	_tag1	;
				RFID		tag	;
₪	₪	₪	₪	₪	₪	₪	₪	₪	₪

IPv6 based embedded RFID (  (  ( ₪))) for NFC IoT ... (so, verification e.g. WHEN was its last transaction, WHICH ATM site (e.g. Location Awareness Response), Personal (counter) deposited, Personal (counter) withdrew, and so on Japanese Standard ... ); Also see: ア メ リ カ 緬 甸 .網 Biometric recognition and RFID based systems; IoT; y Character;

Using Radio ID . Near Field Communication (NFC) . Embedded . Devices : IFF Military ... ; Also see: Biometric recognition and RFID based systems e.g. (biomedical war of COVID-19 pandemic worldwide, unknown ones' formula of airborne Anti Virus); Calendar . Earth . Space . War;

。

In non relational with flat-files;

...

============================================

In relational, RDBMS [ The following idea represents 1970s style of "very old" relational algebra, and relational calculus based relations ] approach; i.e. in 4GL, in Microsoft Access RDBMS (* .m db) with VB front end dialog-interface: assuming that container DOT each database DOT each table DOT each column;

where VB front end dialog-interface textbox ← d y n a set/dataset DOT view tables

where view tables from relations of Meta-table MT(1~N)

Data limitations accordance with allocation of OS 's file size, biometric scanned data size, RFID 's 96bit E PC, ... ;

According to relational theory, Key must be unique. Human being's biometric genetic code is unique which can be scanned remotely, therefore RFID cannot be Key. Rule1

Meta-table MT1

System experts must decide how to manage/distribute Primary Key's 68G data for above meta-table MT1;

Meta-table MT2

System experts must decide how to manage/distribute Primary Key's 16M data for above meta-table MT2 ;

Meta-table MT3

System experts must decide how to manage/distribute Primary Key's 268M data for above meta-table MT3 ;

For systems experts only: calculate the minimum possible and maximum possible data size to be stored, data size to be transacted, data size to be in memory, and ... ;

For database admin only: since 1 database contains N of tables; 1 table contains N of columns; 1 column contains N of fields; 1 table also contains N of rows; 1 row contains N of fields (basically, a row is a record); Each field contains data along with its column's data-type; Find a R-factor (Relation Factor) in base10, base2; And prove R-factor in OS I layers for throughput gain; R-factor is very important, because common human being can only handle 5~7 steps ahead of thinking (i.e. average chess master can think 5~7 steps ahead before a move because human S T M limits brunching factors ...), same logic in RDBMS while managing many databases, tables, columns, records, ... ; Due to human being's S T M and L T M weaknesses, if someone/group manages/administrates any RDBMS without understanding R-factor, the database will be messy sooner or later because RDBMS are in GB, TB of data with more than 100 brunching factors ... ;

============================================

To be continue ... Security of RDBMS: Privilege, Profile, Role, ... ;

, 3GL, ...

============================================

In 2GL, data-type for each column (in Meta-table MT1~N) constraints recordable fields, thus  2⁹⁶ E PC must be developed under 128 bit system; If 128 bit system is not available, and then system experts must decide and adjust (least significant bit and most significant bit) the Primary Key column by separating tables ...;

CASE STUDY 1: Assuming that a supermarket's vendor print-out prompts the following record

UPC                       Description                           Dept       Vendor No  ...     ...     ...     ...

060451010505  SUSHI CALIFORNIA ROLL  227         5356903     ...     ...     ...     ...

Before scanning UPC by Fujitsu hand held IR scanner from salable item, receiver at loading dock insert Foreign Keys such as Vendor #, Dept #, Invoice #, ...; and then barcode from label must be scanned; after scanning items, Quantity and Cost are verified to make sure input data are correct; Notice that Foreign Keys binds the UPC data as Primary Key, and the Key is hidden in print-out; Same concept can be apply to implement Nutrition Systems ... in which mean, for each system such as Nutrition System, Clothing garment System, Home Appliances System, and etc. ... need Foreign Keys in relation; Developing such Foreign Key will provide recognition ... ;

Note: There are many supermarkets exist, thus supermarket A's scanned UPC data may not be the same as supermarket B's scanned UPC data, and so on; Thus, RFID cannot be Key, and Rule1 is correct.

Dream 1: a consumer comes to a supermarket to shop; location based supermarket's biometric recognition automatically recognizes who is coming to shop, and ready to scan for his/her retail cost; while shopping cart's RFID based TFT color display prompts accumulated (a=a+1; adder deploys distance-based calculation only) nutritional facts, accumulated total calories, %DV, and so on ...; when the consumer gets back home, and put the items into refrigerator; refrigerator RFID recognition system automatically adds into its current holding items with freshness, due date, and so on, and it's TFT color display prompts accumulated nutritional facts, accumulated total calories, %DV, and so on ...; On the other hand, if RFID scanners exist nationwide, and then its manufacturing cost, inventory holding cost, transportation cost, human resources cost, and etc. can be calculated not only in real-time, but also in run-time;

============================================

RDBMS to be continue ... ;

SQL logic samples; According to relational theory, based on relational algebra, and relational calculus,

i.e. to get record (row): SELECT column FROM table (s) WHERE the column's conditional statement  ;

For systems experts only: find the best possible relations among tables before/after distribution, thus lesser redundant (Never non-redundant) data will provide faster processing throughputs ... ;

	Up