AL-MANSOUR JOURNAL

This research attempts to diagnose the nature of the role that the self-efficacy of human resources contributes to the strategic success of business organizations, as the human resource represents the most important resource in the organization and the main driver of other resources, so it is necessary to enhance its competencies, to enhance confidence and conviction in the activities and tasks it performs, to achieve The strategic success that guarantees the survival and continuity of the organization at work, as the research problem indicated a clear deficiency in the interest in these variables in the researched organization, so the importance of the research emerges in the researcher’s attempt to provide solutions to address this problem, and to achieve the goals of the research, the descriptive analytical approach was adopted in the applied side to it As the questionnaire was used to collect data, which was distributed to a sample of (64) employees from the Iraqi Middle East Investment Bank, which was adapted to suit the purposes of the current research, and after processing and interpreting the results of data analysis that was made using a number of statistical tools in the program Ready-made (SPSS), the main and sub-assumptions included in the research were validated, which emphasized the importance of the moral role that self-efficacy contributes to. In strategic success, it is necessary to prepare a series of development programs that contribute morally to enhancing the self-efficacy of human resources and invest them in the best possible way to achieve strategic success for business organizations in light of the highly competitive environment in which they operate.

In this paper, multi-segments parametric cartesian space trajectory planning equations based on Neural Network approach is proposed. This work includes using a real two-link robotic arm to be able to write the english words or letters. The proposed algorithm is used to find the positions of the end-effector robotic arm. Neural Network is trained by Back Propagation Algorithm. The two-link robotic has two Degrees Of Freedom. It has two joint angles with three servo motors. A pen is connected to the third servomotor in order to raise and lower the pen. The outputs of this algorithm are: two Pulse Width Modulation motor commands, one Pulse Width Modulation motor command voltage for the first joint angle and the second Pulse Width Modulation motor command voltage for the second joint angle. The results of position errors are acceptable due to servomotors of practical robotic arm. The best training performance error of Mean Square Error for Back Propagation Algorithm equals to (5.3465*10^(-25)). In this work, the maximum positions errors for the end-effector of the robot are computed between theoretical and experimental work. The maximum position error in X axis equals to (-0.0102 m) and the maximum position error in Y axis equals to (-0.0098 m). The writing results of two-link real robotic arm was smooth line segments according to small position errors in X and Y axes.

In Human-Computer Interaction (HCI) area, the sign language is needed for individuals with special needs (dumb) for the purpose of communicating with individuals with no special needs and also for communicating with each other. Thus, the sign language is determined via using the systems of hand recognition. The initial stage in utilizing manual signal recognition is deleting the background in addition to a part (arm/hand) from other body parts just as much as feasible. Concerning the presented study, we are offering a novel approach for representing the alphabet of English language as 6 pattern gestures. The hash pattern has been applied through utilizing histogram equation for gray-scale image. The process of classification has been implemented via the Euclidean distance function as well as Fisher Linear Discrimination Analysis (FLDA). Difficulties including recognizing similar gestures appear to be managed quite efficiently with the proposed technology, as the background is fixed white. The recognition rate has been 82.86 since the lighting differs between different places, in addition to the differences in resolution of the camera, that is highly important in characterizing features.

Diabetes is one of the most common diseases in the world and is one of the diseases of the times. According to the International Diabetes Federation, there are almost 400 million people with diabetes worldwide. In this paper a new algorithm called Bacterial Foraging Optimization Algorithm (BFOA) was used to control the level of blood sugar in diabetics. The Matlab programming language was used to program the algorithm and test its work on integrated information on 200 patients, by finding the best value (lowest value or highest value) for diabetes rates in diabetics. Choosing the best value from the parameters that can be used successfully to detect diabetes with simple clinical measurements, without laboratory tests, and based on the graduation of blood sugar levels, patient cases have been classified and appropriate insulin has been identified to raise or lower blood sugar.

Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that can optimize performance automatically by changing its behavior to adapt to the environment. The Cognitive radio is a kind of two-way radio that automatically changes its transmission or reception parameter this alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment, such as radio frequency spectrum, user behavior and network state the optimizes that use of available radio-frequency (RF) spectrum while minimizing interference to other users. This paper presents a major functionality in cognitive radio network (spectrum sensing and sharing) the idea of spectrum sharing for the participation of more than one operator uses one channel at the same time will be explained, taking in consideration the different types of sharing techniques using (distributed sharing), finally we modeling our work using game theory based on reduction through dominance and average algorithm through using graphic user interface in Matlab program. Simulations are used to study the performance of our proposed algorithm and demonstrate its effectiveness in terms of improving the overall network throughput, reducing the average transmission power and provide efficient bandwidth sharing. In this research represent the game theory and provides comprehensive treatment for it, with cognitive radio networks applications, which helps in design and efficient in the future of network by self-enforcing and distributed spectrum sharing schemes.

The foreign cause is one of the factors that negate the causal association, which is one of the pillars of civil liability that it denies One of the forms of the foreign cause is what is known as "the act of others" or "the fault of others" the focus of our research, which did not adequately address the statement of its concept most of the legislation, which prompted the jurisprudence to determine its legal nature in terms of its definition and identification and the features of its achievement shaping it from other foreign cause images, And that's what the first research is about, On the other hand, there are the effects of the act of others that are being undermined by the defendant's position in the civil liability claim if he can prove that the damage achieved was the result of the act of others to be able to dispose of responsibility completely or partially, which is what is addressed in the research in a second research, At the end of the research, we will be briefed on the most fundamental results of the research: that the term "third party" is a vague and non-specific legal term, but its meaning varies according to what it refers to in each case, and the possibility of the defendant to fully deny himself civil responsibility in the case or Partial if it is established that the damage was caused by the intervention of a person or the multiplicity of causes in his rhythm

: Medically, the doctor uses his fingers to sense patient's heart pulse for measuring heart rate manually ,also he puts electrodes on patient's body to draw the heart wave (Electrocardiography (ECG or EKG)), and both processes are (contact based system). Medically, the heart pulse causes two invisible effects on human being, the first is a slight vibration in human head (motion) and the second is a slight change in skin color due to blood flow into skin (brightness). In this paper, an algorithm was developed to measure the heart rate and draw ECG diagram by webcam in real time without using any additional hardware (non-contact based system) and it can also be developed to help the doctors to examine their patients remotely via the Internet. The proposed algorithm use motion detection technique to detect the heartbeat from webcam frames, where the neighbors frames are subtract from each other to detect the head vibration and skin color change at that moment. The output of the subtraction is converted to a binary form and the sum of the resulting pixels represents the heartbeat values which are used to measure the heart rate and draw ECG. The traditional equation of heart rate calculate the heart pulse in one minute only, but the webcam may be opened for unknown time, therefore in this algorithm the Heart rate equation was developed to calculate the Heart rate in per second instead of per minute and for unlimited time (not only for one minute). The results show that, this algorithm able to measure heart rate with error rate not exceeding (2%) and draw ECG in real time using webcam and for unlimited time.

The issue of quality services has taken the lead in the interest of researchers in recent times for its impact on the economic sectors, especially the private industrial sector. The environment surrounding the current industrial organizations from the opening of markets and the intensification of competition so that the continuation of this sector to continue is impossible, must on governments help by supported and providing the services needed to improve the sector. As the general directorate for industrial development represents the governmental body that supports and supervises the progress and development of this sector by providing all the services it needs, it was necessary to evaluate the quality of services provided to industrial project owners so that they can cope with the current environment and its competition and the importer's entry to find out the most important obstacles facing them and work to remove them. On this basis, the research on the quality of service provided in the directorate-general for industrial development (DGDA) was examined by selecting a sample of 65 industrial entrepreneurs, and through the identification form used as a means of collecting information. Many statistical methods have been used to analyze respondents ' answers to achieve the desired results, and in light of the application of these methods has been reached many conclusions, as the study finally concluded with a set of recommendations based on the results achieved, the most notable being the need working to find ways to improve quality by shortening the time and maximizing the benefits of the services provided by the internet.

Social media are a modern web-based application for communication between humans. People share their interests and activities with these Applications. Twitter is a social media site, where people communicate through tweets. People publish their tweets on their profile and send their followers to express their thoughts and opinions about events in this world. In this research, a modified fuzzy logic method to disband text classification problem. The Inputs for this classification system are a set of features extracted from a tweet and the output of this system is a decision of classification for a tweet, which is a degree of correlation for each tweet to an appointed event where the degree of relevance to the desired event if it irrelevant or relevant. The results compared with the keyword search method and the previous fuzzy logic based method based on terms of correction rate and incremental rate. In the incremental rate, the proposed system is able to extract tweets more than a previous fuzzy logic based method, where in dataset 1 the number of the tweets that extracted by the proposed system is 154tweets but the number of the tweets that extracted by the other one are 98 and 141. The correction rate of the proposed system is (98.7) but the correction rates of these methods are (97.9) and (95.7).