فهرست مطالب mohammad alaei

In this study, amaranth seed flour was used in four levels (2.5, 5, 7.5, and 10%) as a fat substitute in the burger recipe prepared from veal. The characteristics of the produced burgers, such as chemical composition, texture, color, cooking loss and sensory properties were evaluated. The results of three replicates were analyzed in a completely randomized factorial design. The results showed that increasing the amaranth seed meal increased the protein, ash, and moisture content of the burger samples and significantly decreased the cooking loss (p <0.05). Texture evaluation of the burgers showed an increase in stiffness, gumminess, and chewiness, a decrease in cohesiveness, and no significant change in elasticity due to the use of amaranth flour in the burger formulation. The sensory evaluation showed that despite the negative effects of amaranth seed flour on all sensory properties of the burgers, the use of a maximum of 5% amaranth seed flour in the burger recipe is acceptable to consumers.

Instructors of NAJA public education centers are affected by various types of stress. However, due to the high importance of the efficiency of these forces in training and educating skilled and valuable human resources, the negative effects of job stress on them can cause many harms to the NAJA. Accordingly, the present study was conducted to investigate the effect of job stress on the performance of trainers in NAJA Public Education Center.

In order to measure the research variables, two questionnaires of job stress and the questionnaire of instructors' efficiency were used. Research questionnaire indices were obtained from related studies and research background and then localized based on research conditions and study environment. The statistical population of this study was the educational instructors of Public Education Center in the summer of 8931. Due to the limited statistical population of the study, the counting method was used and the research tool was distributed among all employed educators. Validity and reliability of the research model and data analysis were performed using structural equation modeling and confirmatory factor analysis in SMART PLS software.

The research findings showed that job stress has a negative and significant effect on the efficiency of trainers and its dimensions (discipline, training techniques, motivation, communication skills and training skills) in NAJA General Education Center.

The findings of this study showed for the first time that by reducing job stress among trainers in educational centers and increasing the quality of work life, their efficiency improves and as a result, the quality of learners' education also increases..

Nowadays, the technology of digital systems is moving towards increasing the number of processing elements on a chip, which requires scalable and efficient communication infrastructure to achieve higher performance. Network-on-chip (NoC) is a high-performance solution for dealing with many on-chip communication challenges, such as the wiring complexity and the integration of a large number of transistors on a chip. In NoC, communication protocols, routing algorithms and topologies play important roles in the overall system performance. In this paper, a multicast adaptive routing algorithm with fuzzy-based load control for mesh-based NoCs is proposed. This algorithm, due to the non-uniform production and distribution of unicast and multicast packets, prevents dead-locks and live-locks dynamically by the fuzzy control system. The proposed algorithm leads to efficient congestion management, latency reduction and improvement in network throughput and reliability, and even reduction in power consumption. The results of evaluations and comparison with recent multicast routing algorithms demonstrate that the proposed algorithm provides higher reliability and better performance for both 2D and 3D NoCs with mesh topology, than the other works.

The purpose of the present research is to study the epistemological principles based on the viewpoints of Abū Hāmid Muhammad Ghazālī and Mullā Sadrā and to infer their arguments in the field of rational training with emphasis on the pedagogical objectives and methods. The type of research is qualitative and its method is analytical, comparative, and inferential. The findings showed that the two thinkers have commonalities in some epistemological principles and differences in some other cases. The objectives of rational training based on their commonalities include: reason as a potential for acquiring knowledge by everyone, reason as the source of cognition, nature (the world’s creatures) as the source of cognition, heart as the source of cognition, reinforcement of the outer senses (eyesight, hearing, smelling, taste, and touch), reinforcement of the inner senses (imagination), observation of the hierarchy (from simple to complex and abstract) in education and presentation of theology and science, tendency to metaconceptual (true) cognition as an objective for classroom teaching, … . Moreover, the differences involve the following subjects: obtaining the essence of objects and the substantiation of imagery in minds, priority of the sensual to rational knowledge, acquaintance with the history and biography of the ancestors, boosting insight, rational perfection by the aid of theology and religious instruction, unity between the knower and known, seeking assistance from the holy religion (the Qur’an, Ahādith, and tradition), acknowledgment of the religious sources as a criterion to assess education, attempts in line with self-awareness in the process of education, … .

In this research, the design, fabrication, and aerodynamic analysis of a small remote-controlled airship are investigated. The airship must be capable of carrying a 2kg payload. In this research, the design of various parts of an airship such as envelope, gondola and tail has been investigated by using theoretical and empirical formulas. To check the accuracy of the design, digital datcom software was used to perform an analytical analysis as well as the fluent software to numerically evaluate the flow around the airship and calculate the forces and moments applied to it. The investigations were carried out at a free stream speed 15m / s and in the various angles of attack from -10 ° to 10 °. In the numerical study with fluent software, the unstructured grid and the   turbulence model were used. The results showed that the airship was well modeled in digital Datcom software. Also, at low angles of attack, the good agreement between fluent's data and digital Datcom's data is observed. Digital Datcom's data can be used to obtain aerodynamic coefficients during the design phase. At all angles of attack, the airship has static stability and at low angles of attack, it has the least stability and maximum maneuverability. The drag coefficient obtained from Digital Datcom has a significant difference with the Fluent and other references data. therefore, Digital Datcom cannot be predicted at design phases for the drag coefficient.

Due to importance of energy conservation in wireless sensor networks, clustering algorithms and then cluster-based routing schemes are widely designed and utilized in this kind of network. To collect data in the base station, each sensor node sends the sensed data toward the cluster head via single or multi hops. Multi-hop data transmission in the clusters yields unbalanced load of the cluster members. The nodes around the cluster heads have to forward all the received packets from the cluster area; thus, the rate of energy consumption of cluster members is unbalanced. Accordingly, the lifetime of network is shortened by dying the high load nodes. In this paper, a distributed fuzzy-based clustering scheme is proposed to optimize energy consumption and data transmission of wireless sensor networks. In the proposed scheme, the remaining energy and degree of the nodes, transfer time of packets, the hops to the base station, average distance to neighboring nodes and residual energy of the neighboring nodes are considered as the criteria for cluster head selection. Each node calculates its probability of becoming cluster head via a distributed fuzzy inference system. The evaluations show DEEFCA compared to EEDCF, DFLC and EADEEG schemes, enhances network lifetime respectively by 12.8%, 21.5% and 25.8%, also, the amount of data transferred by the network is increased by 19.7%, 71% and 167%.

In this paper, an efficient approach for dynamic congestion management and traffic control of reconfigurable network-on-chip (NoC) is proposed. In this approach that called DyCM, the objectives of improving the parameters of delay, area, throughput and power consumption are pursued. Using he proposed scheme in the router control unit, several virtual channels on each port based on the network traffic are supported. Dynamic and non-uniform allocation of virtual channels, as well as management of turning on and off virtual channels, ports and routers, considerably reduce power consumption of the routers, and also result in increasing throughput. The overhead of the proposed design is increasing the router area, due to the complexity of the power management unit. To reduce the area overhead and to increase the speed of the router, we have reduced the number of pipeline stages in the proposed router. The evaluations show that the DyCM offers higher performance in terms of speed, power consumption and network throughput than recent related architectures.

Network-on-chip (NoC) paradigm, which is based on a modular packet-switched mechanism, effectively addresses many of the on-chip communication challenges such as wiring complexity, communication latency, and bandwidth of many-core systems. In designing an efficient NoC, topology and routing algorithm are the most important challenging issues that have significant impact on area, latency and power consumption. The goal of this paper is designing a fuzzy-basedrouting algorithm for a NoC architecture with honeycomb topology. The proposed algorithm is a livelock and deadlock free routing algorithm based on fuzzy logic for hexagonal zones with flat triple coordinate system. The analysis of simulation results demonstrates that the proposed algorithm, provides higher performance in terms of latency, power consumption, throughput and area than a traditional fuzzy-based routing algorithm for mesh-based NoC architectures. Comparing to a non-fuzzy routing algorithm for honeycomb NoCs, the proposed scheme performs faster with higher throughput with anegligible area and power consumption overhead.

One of the main challenges of wireless sensor networks (WSNs), is unequal energy consumption of the nodes and early dead of the forwarder nodes around the base station because of the high load on these nodes. This matter causes a hole around the base station, thus, the communications between the alive nodes of the network and the base station are disrupted. In this paper, balancing the load and then energy consumption of the network nodes are followed. The aim is prolongation of the lifetime of all the nodes, particularly, the nodes around the base station to keep the communications between the network nodes and the base station until the end of lifetime of the nodes without any hole. To this purpose, a method for zoning the area of sensor networks is proposed. The distance of data transfer hop of each forwarder node is adjusted based on the amount of data to be transmitted by the forwarder. Hence, energy consumption of forwarders and thus their lifetimes are balanced. The proposed approach presents a solution for the challenge of short life of forwarders around the base station. Moreover, the dimensions of zones are calculated in such way that the communications between the sensors and the forwarder in each zone are performed in single hop manner. The approach balances the density of sensors of the created zones to uniform the coverage ratio in all the network area. The performance evaluations of the proposed scheme indicate that the scheme prolongs the lifetime of both forwarders and sensor nodes compared with the related works.

Mobile Ad Hoc Networks (MANET) can be considered as a class of unstructured networks created by a number of autonomous wireless and sensor nodes. The inherent characteristics of such networks have made specific applications, such as multimedia transfer and challenging. Basically, the functionality of a node and very few resources directly affect the delivery of packets which depends on the quality of the selected route. Since the nodes in MANET get their energy and power from batteries or other end-to-end resources, the most important criterion to design an optimal system is energy conservation. The purpose of this paper was to increase the efficiency of the OLSR routing protocol by generating new parameters and considering the amount of nodes energy. In this method, the optimal route was selected based on the remained energy in the middle nodes, the distance between the nodes and the number of steps. Therefore, the present paper used a genetic algorithm-based approach for optimal routing in the OLSR protocol based on the remained energy of each node. It used the weight factor which has been determined based 111on energy consumption combined with shortest routes. It considered the energy factor of each node in routing and selected the optimal route.