Applied Mechanics and Materials Vol. 892

Abstract: In this paper, a first principle Density Functional Theory (DFT) method was conducted to study the geometric and electronic structures of 1-(4-chlorophenyl)-2-{[5-(4-chlorophenyl) -1,3,4-oxadiazol-2-yl] sulfanyl} ethanone, C₁₆H₁₀C_l2N₂O₂S. Using B3LYP level of theory with four basis sets of 6-31G**, 6-31++G**, 6-311G**, and 6-311++G**, the equilibrium structure of the title molecule was used to determine the total energies, Frontier molecular orbital’s energies, Mulliken atomic charges, and others. The computed findings present that four total energies obtained are close to each other, with the corresponding values of-59716.06 eV, -59709.42 eV, -59708.56 eV, and-59716.51 eV, respectively for B3LYP/6-31G**, B3LYP/6-31++G**, B3LYP/6-311G**, and B3LYP/6-311++G** methods. The calculated HOMO-LUMO energy gaps were predicted in the range of 4.001 eV - 4.089 eV. In this study, the atomic charge values of molecular system were also determined using Mulliken Population Analysis (MPA) approach. For DFT/B3LYP/6-311G** level of calculation, the computed results show that the atom of C₈ accommodates the highest negative charge in the title molecular system. All the oxygen, nitrogen, and chloride atoms are having negative charges, whereas all the hydrogen atoms are having positive charges. In addition, the dipole moment value was also determined to be 1.4758 Debye by employing DFT/B3LYP/6-311G** level of theory.

Abstract: End users and consumers of halal industry are facing difficulties in finding verified halal information. This occurred due to information that is stored in silos at every point of activity for every process chain, employing different structures and models, creating an issue of information verification. Integration of multiple information systems generally aims at combining selected systems so that information can be easily retrieved and manage by users. A proposed five components metadata representation development methodology is presented in this paper so that they form a unified new whole and give users the illusion of interacting with one single information system, therefore, data can be represented using the same abstraction principles (unified global data model and unified semantics) without any physical restructuring.

Abstract: A gyro-stabilized antenna platform could implement a real-time motion compensation for a SAR system. Since motion errors reduce during the data acquisition process, post-processing load also reduces. Subsequently, production of well-focused, and high-resolution synthetic aperture radar (SAR) images is conceivable. The research is to design a gyro-stabilized SAR antenna platform that compensates motion in real time during data acquisition. This paper explains the study of undesired motion (error) for typical UAV SAR. The resulting angle ranges of yaw, pitch, and roll describe the magnitude of the motion errors. The design of a gimbal system as a stable antenna platform considers yaw, pitch and roll range parameters. IMU optimization (Complimentary Filter, and Madgwick Filter algorithms are tested and compared in order to decide the optimum optimization scheme for the antenna platform. The data fusion and gradient descent algorithm from Madgwick show significant performance. The implementation of the optimized IMU algorithm and control on a field programmable gate array (FPGA) has resulted in a very effective stable antenna platform.

Abstract: This paper presents the review of available visual water quality monitoring and proposes a conceptual sonification model of audiovisual analytics for precision aquaculture. This study reviews the current practice of the visual water quality monitoring system used to interpret the complex fish farming data. This study also explores the possibility of using an auditory display, by using sound as complementary elements to communicate information from the system to the user.

Abstract: Face detection is the primary task in building a vision-based human-computer interaction system and in special applications such as face recognition, face tracking, face identification, expression recognition and also content-based image retrieval. A potent face detection system must be able to detect faces irrespective of illuminations, shadows, cluttered backgrounds, orientation and facial expressions. In previous literature, many approaches for face detection had been proposed. However, face detection in outdoor images with uncontrolled illumination and images with complex background are still a serious problem. Hence, in this paper, we had proposed a Geometric Skin Colour (GSC) method for detecting faces accurately in real world image, under capturing conditions of both indoor and outdoor, and with a variety of illuminations and also in cluttered backgrounds. The selected method was evaluated on two different face video smartphone databases and the obtained results proved the outperformance of the proposed method under the unconstrained environment of these databases.

Abstract: Software developers have shown a lot of interest in using agile approaches and methods to manage projects. The Agile Manifesto in 2001 provided a good basis to use this as it formulated its 4 values and 12 principles. Adaptability was a common feature in the Agile Manifesto to make agility happen and there appears a need to combine dynamism to ensure agility takes a more concrete and effective role. Whilst the term adaptability is discussed more often than dynamism by most researchers, the clarity in its meaning needs improvement as the terms are used interchangeably. This paper proposes a useful clarity on its differences and how it should be used. In addition, this approach would also facilitate the current research interest in mixing and combining software development methodologies to create hybrid versions as pure methods (traditional and agile) have not worked well in most software projects.

Abstract: This research focused on the applicability of Adaptive Network-Based Fuzzy Inference System (ANFIS) for predict the compressive strength of fibers self-compacting concrete. An ANFIS model combines the benefit of ANN and fuzzy logic. The data developed experimentally for fibers self-compacting concrete and the data sets of a total 99 concrete samples were used in this work. In this paper research is computational based for prediction of concrete compressive strength. A model was developed using ANFIS with five input nodes as w/p ratio, course aggregate, fine aggregate, fiber and superplastizers. In this model Feed-forward three-layer back-propagation neural networks with 10 hidden nodes were examined using learning algorithm. ANFIS model proposed analytically that gives more compatible results. Hence, the model is adopted to predict the strength of fibrous self-compacting concrete.

Abstract: Gamification has been widely applied to various fields to boost the user experience and engagement. Most businesses now have implemented gamification elements into their business models to increase their customer retention. These elements, often called the Customer Loyalty Programs have helped businesses retain their customer base by ensuring that their customers get rewarded for their support to the business. This paper analyses the business model of Dota 2, a Free-to-Play game which sells various in-game items including the Compendium annually. The compendium allows the players to earn or buy levels and receive rewards based on their achievements in the compendium. The compendium applies various concepts of gamification into it. The compendium is then annually improved by adding new rewards, milestones and features. We can expect that the sales of the compendium will increase with the implementation and improvement of gamification, which in turn can help to sustain the Free-to-Play model of the game.

Abstract: Application Layer Multicast (ALM) is considered as an attractive approach for implementing wide area multicast services. In ALM, multicast functionality is implemented at the edge instead of the core network (routers). As opposed to network-layer multicast, application layer multicast requires no infrastructure support and can be easily deployed in the Internet. In this paper, we propose a new efficient and scalable model for optimizing application layer multicast using HPM architecture (HPM: A novel hierarchical Peer-to-Peer model for lookup acceleration with provision of physical proximity). This approach benefits from P2P properties and characteristics. In this contribution, we consider our optimized tree construction algorithm simultaneously for each ring of HPM. The global tree construction algorithm is composed of two steps. In the first step, we construct a sub-tree for each ring; the second step is to build a global tree using sub sets of adjacent rings in HPM architecture. The proposed model inherits from main P2P attributes such as: scalability, fault tolerance characterized HPM. Preliminarily performance evaluations show that results are globally satisfactory, the depth of the resulting multicast tree is optimized.