In this paper, an efficient control algorithm for infrared (IR) sensor based camera monitoring system is proposed. The aim of this algorithm is to detect and record the state of the motioned objects that cross the covered area by the monitoring scheme, in which both consumed power and storage capacity are reduced. This is done by controlling the work of the allocated cameras to operate independently depending on the received signals of the distributed IR sensors. The obtained results show the efficiency and powerful of the proposed system in terms of required power and storage capacity and coverage.
one of the popular things among succeeded companies is an automated system. The reasons behind using the automated system are to reduce human errors, work and to gain efficiency. The design focused on building an automated system for access control and attendance monitoring by the use of RFID technology. all the companies that still doing mural attendance will get a great help when it used the proposed system. this paper used RFID (tags, reader), microcontroller to collect data, ZigBee technology for transmitting and receiving data wirelessly, computer as a control station. the program at control station was written by using Visual C# and connect with database (DB) MSSQL server to store employees’ numbers (RFID tags) and used for attendance calculations. The initial results of the proposed system appear a high profit in time-saving and cost when compared with traditional systems. cost divided into two parts, firstly: a price of ZigBee device, secondly: security men
String matching is considered as one of the center issues within the field of computer science, where there are numerous computer applications that supply the clients with string matching services. The increment within the number of databases which are created and protected in numerous computer gadgets had impacted researchers with the slant towards getting robust techniques in tending to this issue. In this study, the Maximum-Shift string matching algorithm is chosen to be executed with multi-core innovation through the utilization of OpenMP paradigm, in order to decrease the successive time, and increment the speedup and efficiency of the algorithm. The deoxyribonucleic acid (DNA), protein and the English text datasets are utilized to test the parallel execution that influences the Maximum-Shift algorithm execution when utilized with multi-core environment. The results demonstrated that the execution is affected by the performance between the parallel and consecutive execution of Maximum-Shift algorithm by data type. The English text appeared ideal comes about within the parallel execution time as compared to other datasets, whereas the DNA database set appeared the most elevated comes about when compared to other data types in terms of speedup and efficiency capabilities.
Coherent motions depict the individuals’ collective movements in widely existing moving crowds in physical, biological, and other systems. In recent years, similarity-based clustering algorithms, particularly the Coherent Filtering (CF) clustering approach, have accomplished wide-scale popularity and acceptance in the field of coherent motion detection. In this work, a tracklet-before-clustering initialization strategy is introduced to enhance coherent motion detection. Moreover, a Hierarchical Tracklet Association (HTA) algorithm is proposed to address the disconnected KLT tracklets problem of the input motion feature, thereby making proper trajectories repair to optimize the CF performance of the moving crowd clustering. The experimental results showed that the proposed method is effective and capable of extracting significant motion patterns taken from crowd scenes. Quantitative evaluation methods, such as Purity, Normalized Mutual Information Index (NMI), Rand Index (RI), and F-measure (Fm), were conducted on real-world data using a huge number of video clips. This work has established a key, initial step toward achieving rich pattern recognition.
achieving the highest performance and efficiency of elevators have become an important area of research in the world of elevators. Because of the accelerating nature of the world, the interest in time and the rush to accomplish business became a major need for mankind. And that high buildings rely mainly on elevators, reducing the response time of the elevator is the most important research areas, so in this research, we propose an idea to provide the elevator to the person and not to false demand and this requires detection the presence of someone waiting for the elevator to the proposed system provides an algorithm based on the sensor PIR (passive infrared sensor). The results showed the size of profit achieved by the system and the profit is divided into profit times (reduce response time which leads to increase comfort for the rest of the people) and profit in reducing the energy consumed by the elevator.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.