Abstract:
본 발명은 이종 네트워크의 셀 선택과 간섭 관리 방법 및 장치에 관한 것으로서, 특히, LTE Advanced 하향링크 기반 매크로 셀과 피코 셀이 공존하는 이동 네트워크에서 SINR 기반의 셀 영역 확장을 통한 셀 선택 기법과 시간 영역에서 ABS 기반의 간섭 관리 기법을 적용한다. 이를 통해, 오프 로딩 효과 및 기존의 동종 네트워크에서 사용된 간섭 관리 기법과 비교하여 더 높은 성능 이득을 가져올 수 있고, 단말기들의 QoS의 향상을 보여주는 SINR 성능 향상을 통하여 최종적으로 스펙트럼 효율의 향상을 가져온다.
Abstract:
본 발명은 제어영역을 이용한 터치스크린 제어방법 및 이를 이용한 단말에 관한 것으로서, 본 발명의 제어영역을 이용한 터치스크린 제어방법은 터치스크린 일정영역에, 터치를 감지하여 상기 터치스크린 전체를 제어하는 제어영역을 설정하는 단계, 제어영역에 터치가 감지되면 터치 위치를 확인하는 단계, 터치 위치가 확인되면 이에 대응되는 터치 스크린 위치에 포인터가 생성되는 단계, 터치 위치의 움직임에 대응하여 포인터의 위치가 변경되는 단계를 포함한다. 이를 통해 단말을 한손만으로 이용하고자 할 때, 단말을 지지하고 있는 손으로 터치스크린 전체를 쉽게 제어할 수 있다.
Abstract:
The present invention relates to a touchscreen control method using a control area and a terminal thereof. The touchscreen control method using a control area includes the steps of setting a control area which detects touch on a predetermined area of the touchscreen to control the entire touchscreen; checking a touch point when touch is detected on the control area; generating a pointer on a touchscreen point which corresponds to the touch point; and changing the location of the pointer to correspond to the motion of the touch point. Accordingly, a user can easily control the entire touchscreen with a hand supporting the terminal when the user wants to use the terminal only with one hand.
Abstract:
PURPOSE: A PAN(Personal Area Network) subscription method using passive scanning is provided to selectively subscribe a device providing a specific service by determining a service type included in a beacon. CONSTITUTION: A device(1000) which desires subscription starts scanning(S31). The device stores a service type. The device receives a beacon transmitted by a coordinator(S32). The device determines whether the device is able to be subscribed(S33). The device ignores the beacon when the device is unable to be subscribed(S34). When the device is able to be subscribed, the coordinator transmitting the beacon or the identification information of the PAN is updated(S35). [Reference numerals] (1000) Device; (2) Coordinator; (S31) Start scanning; (S32) Beacon (including service type); (S33) Subscription available?; (S34) Ignore; (S35) List up; (S36) End scanning; (S37) Subscribe
Abstract:
PURPOSE: A network discovery method is provided to selectively discover a network in which a device providing a service is formed. CONSTITUTION: An adjacent device A(200) and an adjacent device B(300) receives a discovery message including a service type information(S14). It is determined whether the adjacent device A and the adjacent device B provide one or more services specified by the service type information(S15a,S15b). When the one or more services specified by the service type information are provided, the adjacent device A transmits the identifier of the formed network to a host(100)(S23). [Reference numerals] (100) Host; (200) Adjacent device A; (300) Adjacent device B; (S11a,S11b) Network establishment; (S12a,S12b) Subscription allowance; (S13) Discovery message generation; (S14) Discovery message broadcasting; (S15a,S15b) Is service provided?; (S17) Network selection; (S18) Subscription message; (S19) ID application; (S23) Response message
Abstract:
PURPOSE: A multi image object tracking program based on a penalty point graph for a hijacking problem of a tracker is provided to add a penalty point, which is in inverse proportion to a distance of a neighbor image object, to a weighted value of each particle, thereby preventing a hijacking problem for object tracking. CONSTITUTION: A multi image object tracking program extracts an image object from a current image. The multi image object tracking program obtains location information of the extracted image object(S2000). The multi image object tracking program labels a new object by a new identifier(S3100). The multi image object tracking program generates a penalty point graph(S4000). The multi image object tracking program predicts a particle group of the each image object(S5000). The multi image object tracking program calculates particle weighted values of predicted particles(S6000). The multi image object tracking program assigns a penalty point to the weighted values(S7000). [Reference numerals] (AA) Start; (BB) End; (S1000) Inputting an image; (S2000) Extracting an image object and obtaining location information; (S3000) Location information; (S3100) Adding to a tracing list; (S4000) Generating a penalty point graph; (S5000) Predicting the particle group of each image object; (S6000) Calculating particle weighted values; (S7000) Applying a penalty point to the particle weighted values; (S8000) Removing particles with '0' weighted values; (S9000) Updating the location of each image object and the penalty point graph; (S9100) Resampling the particle group; (S9200) Is a next image input ?