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This paper presents the development of a wrist rehabilitation system with a novel approach for structural design, based on the modeling of an optimization problem solved by a metaheuristic algorithm, Improved Harmony Search (ImHS). It is part of a project for developing low-cost rehabilitation systems expressly designed for the population of Latin American countries. A mixed optimization problem is modeled for the design, where the material type is associated with an integer variable and the dimensions of the components are continuous parameters. The novelty is that each element is calculated individually, but considering the combined effect over the structure. The optimization works simultaneously on both the material selection and the meeting of the associated constraints, to guarantee that the system will not fail because of any load, neither it will be unsafe for the patients, since the operation will always be within the limits considered in the modeling. ImHS is a variant of the Harmony Search algorithm, modified to enhance the exploration and exploitation processes. It is a simple yet powerful metaheuristic, implemented in this development with additional modifications to handle constraints and mixed variables. The proposed approach produced quality results, indicating that ImHS can be applied to solve complex engineering problems, facilitating the manufacture and control processes.
Eduardo Vega-Alvarado; Valentín Vázquez-Castillo; Edgar Portilla-Flores; Maria Calva-Yañez; Gabriel Sepúlveda-Cervantes. Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search. Applied Sciences 2021, 11, 1766 .
AMA StyleEduardo Vega-Alvarado, Valentín Vázquez-Castillo, Edgar Portilla-Flores, Maria Calva-Yañez, Gabriel Sepúlveda-Cervantes. Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search. Applied Sciences. 2021; 11 (4):1766.
Chicago/Turabian StyleEduardo Vega-Alvarado; Valentín Vázquez-Castillo; Edgar Portilla-Flores; Maria Calva-Yañez; Gabriel Sepúlveda-Cervantes. 2021. "Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search." Applied Sciences 11, no. 4: 1766.
There are problems that are difficult to solve through mathematical programming or by classical methods. These problems are called hard problems due to their high complexity or high dimension. On the other hand, mataheuristics intends to seek a better solution to a problem. The Improvement Harmony Search algorithm is proposed under modification of the bandwidth parameter increasing the quality of the exploitation of the solutions. That is why within the state of the art, are mentioned several versions of harmonic search. The state of the art is supports the fact that the algorithm belongs to the category of those who make modifications to its parameters. This research demonstrates the ability of ImHS to solve a problem of high complexity focused on solving four-bar mechanism designs, whose solutions imply high dimension and which are also classified as hard problems. The two problems that are solved in this investigation, are problems very attacked within the state of the art by various metaheuristics. A comparison is then made against previous solutions with traditional metaheuristics and other versions of harmony search algorithm. Finally, the effectiveness of performance is demonstrated, where proposed algorithm it exceeded five metaheuristic algorithms and five harmony search versions. An optimum is provided in an easy and useful way, the parametric statistics are improved and the number of feasible solutions is exceeded in NP-hard problems as in the case of problems with four-bar mechanisms.
Leticia Flores-Pulido; Edgar Alfredo Portilla-Flores; Eric Santiago-Valentin; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Paola Andrea Nino-Suarez. A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms. IEEE Access 2020, 8, 148757 -148778.
AMA StyleLeticia Flores-Pulido, Edgar Alfredo Portilla-Flores, Eric Santiago-Valentin, Eduardo Vega-Alvarado, Maria Barbara Calva Yanez, Paola Andrea Nino-Suarez. A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms. IEEE Access. 2020; 8 (99):148757-148778.
Chicago/Turabian StyleLeticia Flores-Pulido; Edgar Alfredo Portilla-Flores; Eric Santiago-Valentin; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Paola Andrea Nino-Suarez. 2020. "A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms." IEEE Access 8, no. 99: 148757-148778.
This work presents a new methodology for designing input and output filters to be applied in a three-phase matrix converter, with an optimization problem solved by a metaheuristic algorithm. The algorithm determines the optimal values of the passive elements of the filters, taking as the fundamental performance criterion the response in magnitude. It is based on the resonant frequency, in order to eliminate the harmonics in the input currents and the output voltages produced by the bidirectional switching and disturbances in the power supply. These filters are implemented in a direct matrix converter using a Venturini-type modulation in open loop configuration. Other developments for this filter design have been carried out, but most of them were based on the conventional procedure of determining a random value for some element and then finding the magnitude of the remaining elements. That approach does not ensure the best dynamic filter response. The proposed design technique requires no initial elements, since all values are calculated by the metaheuristic algorithm.
Joel Muñoz-Castillo; Germán Ardul Muñoz-Hernández; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez; Gerardo Mino-Aguilar; Paola Andrea Niño-Suarez. Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques. Applied Sciences 2020, 10, 3524 .
AMA StyleJoel Muñoz-Castillo, Germán Ardul Muñoz-Hernández, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Bárbara Calva-Yáñez, Gerardo Mino-Aguilar, Paola Andrea Niño-Suarez. Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques. Applied Sciences. 2020; 10 (10):3524.
Chicago/Turabian StyleJoel Muñoz-Castillo; Germán Ardul Muñoz-Hernández; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez; Gerardo Mino-Aguilar; Paola Andrea Niño-Suarez. 2020. "Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques." Applied Sciences 10, no. 10: 3524.
An Isolated Microgrid (IMG) is an electrical distribution network combined with modern information technologies aiming at reducing costs and pollution to the environment. In this article, we implement the Bacterial Foraging Optimization Algorithm (BFOA) to optimize an IMG model, which includes renewable energy sources, such as wind and solar, as well as a conventional generation unit based on diesel fuel. Two novel versions of the BFOA were implemented and tested: Two-Swim Modified BFOA (TS-MBFOA), and Normalized TS-MBFOA (NTS-MBFOA). In a first experiment, the TS-MBFOA parameters were calibrated through a set of 87 independent runs. In a second experiment, 30 independent runs of both TS-MBFOA and NTS-MBFOA were conducted to compare their performance on minimizing the IMG using the best parameter tuning. Results showed that TS-MBFOA obtained better numerical solutions compared to NTS-MBFOA and LSHADE-CV, an Evolutionary Algorithm, found in the literature. However, the best solution found by NTS-MBFOA is better from a mechatronic point of view because it favors the lifetime of the IMG, resulting in economic savings in the long term.
Betania Hernández-Ocaña; José Hernández-Torruco; Oscar Chávez-Bosquez; Maria B. Calva-Yáñez; Edgar A. Portilla-Flores. Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid. Applied Sciences 2019, 9, 1261 .
AMA StyleBetania Hernández-Ocaña, José Hernández-Torruco, Oscar Chávez-Bosquez, Maria B. Calva-Yáñez, Edgar A. Portilla-Flores. Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid. Applied Sciences. 2019; 9 (6):1261.
Chicago/Turabian StyleBetania Hernández-Ocaña; José Hernández-Torruco; Oscar Chávez-Bosquez; Maria B. Calva-Yáñez; Edgar A. Portilla-Flores. 2019. "Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid." Applied Sciences 9, no. 6: 1261.
In this work, a graph-theory based approach for representing planar mechanisms is presented, the Santiago-Portilla Method (SPM). From the corresponding adjacency matrix, SPM generates an extended matrix containing the complete characterization of a planar mechanism, including all the information about both topology and geometry. This matrix representation can be used for the optimal design of mechanisms, allowing simultaneously the topological and dimensional synthesis by means of computational tools such as the metaheuristic algorithms. A case study corresponding to the design of a fixed-linear-trajectory tracker mechanism is included in order to test the efficiency of the proposed approach. It was carried out by addressing the design as an optimization problem and solving it with the Differential Evolution algorithm, representing the individuals in its population by the matrix form generated by SPM. The results of the case study show that SPM and its matrix representation constitute a useful and flexible tool for the solution of real engineering problems involving the design of planar mechanisms.
Eric Santiago-Valenten; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Martin Pedroza-Villalba. A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design. IEEE Access 2018, 7, 587 -596.
AMA StyleEric Santiago-Valenten, Edgar Alfredo Portilla-Flores, Efren Mezura-Montes, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Martin Pedroza-Villalba. A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design. IEEE Access. 2018; 7 (99):587-596.
Chicago/Turabian StyleEric Santiago-Valenten; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Martin Pedroza-Villalba. 2018. "A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design." IEEE Access 7, no. 99: 587-596.
In this paper, an alternative approach for topology optimization of truss-type structures is presented. The structural design is translated to a constrained discrete optimization problem based on weight reduction, with performance considerations included in its objective function. The constraints are related to the maximum global stress and to the individual strain energy density. Each member has a standard profile and its absence/presence in the structural representation is implemented with a binary coding; in order to avoid singularities while in the structural analysis, a scheme for simulating the effects of missing members by means of the birth/death element technique is applied. An energy-based approach is employed to detect those elements that not contribute to the overall stiffness. The optimization problem is solved by applying a Modified Binary Differential Evolution algorithm, and the graph theory is applied in parallel with the optimization process to discard unfeasible structures and reduce execution time. The structural performance is evaluated by an execution-time static analysis based on the finite-element method, considering the behavior in a 3-D environment and using commercial software to reduce the uncertainty in this step. The presented proposal is implemented in ANSYS APDL, using as case studies two different structures with a specific load case. The obtained results show a volume reduction of more than 40% off the initial structures, indicating that the proposed approach can be a high-quality tool for structural design in real engineering problems.
Martin Pedroza-Villalba; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Eric Santiago-Valentin; Enrique Alcala-Fazio. Truss Topology Optimization Based on a Birth/Death Element Approach. IEEE Access 2018, 6, 72609 -72619.
AMA StyleMartin Pedroza-Villalba, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Eric Santiago-Valentin, Enrique Alcala-Fazio. Truss Topology Optimization Based on a Birth/Death Element Approach. IEEE Access. 2018; 6 ():72609-72619.
Chicago/Turabian StyleMartin Pedroza-Villalba; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Eric Santiago-Valentin; Enrique Alcala-Fazio. 2018. "Truss Topology Optimization Based on a Birth/Death Element Approach." IEEE Access 6, no. : 72609-72619.
The knee prosthesis development has tried many approaches including passive, dynamically damped and powered designs. Nevertheless, the passive approach still has some very important aspects to contribute to this complex design process and must be restudied before applying any powered approach. The synergistic combination of this two perspectives is necessary to conceive the knee prosthesis implementation as a biomechatronic design and to take advantage of the best from each approach. The purpose of this study is the dimensional synthesis of a polycentric six-bar mechanism to be implemented as a knee prosthesis. For this reason, a constrained numerical optimization is proposed where the main objective is the minimization of the error when following the desired trajectory, previously obtained as a result of the Mexican anthropometry studies. Additionally, this study adds, as a requirement, the avoidance of the knee hyperextension with the mechanism itself instead of using mechanical stops added into other stages of the knee design. This work handles this new requirement by applying a set of new constraints in the optimization problem to impose the desired behavior as well as forcing the synthesized mechanism to be a Non-Grashof mechanism. The optimization problem is solved by using an evolutionary technique, because of its simplicity in the implementation and the good results reported in literature when solving real-world engineering problems. The Differential Evolution algorithm is applied in combination with some simple but efficient rules to handle the constraints. By following this route the obtained mechanism follows the desired trajectory, avoids the hyperextension and its configuration is more compact due to the folding characteristics of a Non-Grashof configuration. Finally, the obtained mechanism simulation is presented and it is modeled using CAD tools.
Cuauhtémoc Morales-Cruz; Edgar Alfredo Portilla-Flores; Rosaura Anaíd Suárez-Santillán; Noemi Hernández-Oliva; Maria Bárbara Calva-Yáñez. Synthesis of a Non-Grashof Six-Bar Polycentric Knee Prostheses Using an Evolutionary Optimization Algorithm. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization 2018, 1121 -1132.
AMA StyleCuauhtémoc Morales-Cruz, Edgar Alfredo Portilla-Flores, Rosaura Anaíd Suárez-Santillán, Noemi Hernández-Oliva, Maria Bárbara Calva-Yáñez. Synthesis of a Non-Grashof Six-Bar Polycentric Knee Prostheses Using an Evolutionary Optimization Algorithm. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. 2018; ():1121-1132.
Chicago/Turabian StyleCuauhtémoc Morales-Cruz; Edgar Alfredo Portilla-Flores; Rosaura Anaíd Suárez-Santillán; Noemi Hernández-Oliva; Maria Bárbara Calva-Yáñez. 2018. "Synthesis of a Non-Grashof Six-Bar Polycentric Knee Prostheses Using an Evolutionary Optimization Algorithm." EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization , no. : 1121-1132.
This paper presents a procedure for designing a mechanical training and rehabilitation gait system centered on ankle trajectories for children with cerebral palsy or any other psycho-motor limitation. With the aim of developing a reconfigurable device adjustable to the anthropometric characteristics of the user, an analytic model for the generation of ankle trajectories was elaborated, taking as a base the experimental data reported in literature. A dimensional synthesis for a mechanism to follow the drop type trajectories was carried out as a constrained numerical optimization problem that was solved with both the mathematical programming method and an evolutive algorithm, sequential quadratic programming (SQP) and differential evolution (DE), respectively. The comparative analysis of the results from both methods for this case study shows that DE outperforms SQP because of the limited feasibility space derived from the problem constrains and boundaries. The best result from DE was simulated with a computer-aided design package using a real size model for manufacturing.
Maria Barbara Calva-Yanez; Paola Andrea Nino-Suarez; Edgar Alfredo Portilla-Flores; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentn. Reconfigurable Mechanical System Design for Tracking an Ankle Trajectory Using an Evolutionary Optimization Algorithm. IEEE Access 2017, 5, 5480 -5493.
AMA StyleMaria Barbara Calva-Yanez, Paola Andrea Nino-Suarez, Edgar Alfredo Portilla-Flores, Jorge Alexander Aponte-Rodriguez, Eric Santiago-Valentn. Reconfigurable Mechanical System Design for Tracking an Ankle Trajectory Using an Evolutionary Optimization Algorithm. IEEE Access. 2017; 5 ():5480-5493.
Chicago/Turabian StyleMaria Barbara Calva-Yanez; Paola Andrea Nino-Suarez; Edgar Alfredo Portilla-Flores; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentn. 2017. "Reconfigurable Mechanical System Design for Tracking an Ankle Trajectory Using an Evolutionary Optimization Algorithm." IEEE Access 5, no. : 5480-5493.
Hybrid metaheuristics, explored in recent literature, are optimization methods that combine a global search metaheuristic with algorithms for refinement that in turn can be stochastic or deterministic. Although initially they were applied to combinatorial optimization, nowadays there are hybrid algorithms for a wide range of numerical problems: static or dynamic, mono or multi-objective, unconstrained or constrained, among others. In this paper a novel application of a hybrid method, MemMABC, is applied as a tool in a case study for the synthesis of an end effector presented as a constrained optimization problem, using a model for a two-finger gripper. The objective is to show the ability of hybrid metaheuristics as an alternative method for solving hard problems, specifically of numerical optimization. MemMABC is a memetic algorithm, that uses the modified artificial bee colony algorithm(MABC) for global searching and a version of random walk as local searcher, adapted to handle design constraints with an ε-constraint scheme. Grippers are end effectors used in a wide variety of robots, and are a good example of hard optimization problems. The simulation of results shows an accurate control of the gripping force along the opening range of the calculated mechanisms, suggesting that MemMABC can produce quality solutions for real-world engineering cases.
Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentín; Jose Marco Antonio Rueda-Melendez. Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem. IEEE Access 2017, 5, 6002 -6014.
AMA StyleEduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Maria Barbara Calva-Yanez, Gabriel Sepulveda-Cervantes, Jorge Alexander Aponte-Rodriguez, Eric Santiago-Valentín, Jose Marco Antonio Rueda-Melendez. Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem. IEEE Access. 2017; 5 ():6002-6014.
Chicago/Turabian StyleEduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentín; Jose Marco Antonio Rueda-Melendez. 2017. "Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem." IEEE Access 5, no. : 6002-6014.
Maria Bárbara Calva Yáñez; Paola Andrea Niño Suárez; Jorge Alexander Aponte Rodríguez; Eric Santiago Valentín; Edgar Alfredo Portilla Flores; Gabriel Sepúlveda Cervantes. Síntesis óptima de un mecanismo de cinco barras de 2-GDL utilizando técnicas de inteligencia artificial. Research in Computing Science 2016, 113, 105 -118.
AMA StyleMaria Bárbara Calva Yáñez, Paola Andrea Niño Suárez, Jorge Alexander Aponte Rodríguez, Eric Santiago Valentín, Edgar Alfredo Portilla Flores, Gabriel Sepúlveda Cervantes. Síntesis óptima de un mecanismo de cinco barras de 2-GDL utilizando técnicas de inteligencia artificial. Research in Computing Science. 2016; 113 (1):105-118.
Chicago/Turabian StyleMaria Bárbara Calva Yáñez; Paola Andrea Niño Suárez; Jorge Alexander Aponte Rodríguez; Eric Santiago Valentín; Edgar Alfredo Portilla Flores; Gabriel Sepúlveda Cervantes. 2016. "Síntesis óptima de un mecanismo de cinco barras de 2-GDL utilizando técnicas de inteligencia artificial." Research in Computing Science 113, no. 1: 105-118.
Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efrén Mezura-Montes; Leticia Flores-Pulido; Maria Bárbara Calva-Yáñez. A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking. Polibits 2016, 53, 83 -90.
AMA StyleEduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, Leticia Flores-Pulido, Maria Bárbara Calva-Yáñez. A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking. Polibits. 2016; 53 ():83-90.
Chicago/Turabian StyleEduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efrén Mezura-Montes; Leticia Flores-Pulido; Maria Bárbara Calva-Yáñez. 2016. "A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking." Polibits 53, no. : 83-90.
This paper presents a dynamic approach to the synthesis of a crank-rocker four-bar mechanism, that is obtained by an optimization problem and its solution using the Bio-inspired algorithm called Differential Evolution (DE). The proposed dynamic approach states a mono-objective dynamic optimization problem (MODOP), in order to obtain a set of optimal parameters of the system. In this MODOP, the kinematic and dynamic models of the whole system are considered as well as a set of constraints including a dynamic constraint. The DE algorithm is adapted to solve the optimization problem by adding a suitable constraint-handling mechanism that is able to incorporate the kinematic and dynamic constraints of the system. A set of independent computational runs were carried out in order to validate the dynamic approach. An analysis from the mechanical and computational point of view is presented, based on the obtained results. From the analysis of the simulation and its results, it is shown that the solutions for the proposed algorithm lead to a more suitable design based on the dynamic approach.
Edgar Alfredo Portilla-Flores; Maria Barbara Calva Yanez; Miguel Gabriel Villarreal-Cervantes; Paola Andrea Nino Suarez; Gabriel Sepulveda Cervantes. An Optimum Synthesis of a Planar Mechanism Using a Dynamic-based Approach. IEEE Latin America Transactions 2015, 13, 1497 -1503.
AMA StyleEdgar Alfredo Portilla-Flores, Maria Barbara Calva Yanez, Miguel Gabriel Villarreal-Cervantes, Paola Andrea Nino Suarez, Gabriel Sepulveda Cervantes. An Optimum Synthesis of a Planar Mechanism Using a Dynamic-based Approach. IEEE Latin America Transactions. 2015; 13 (5):1497-1503.
Chicago/Turabian StyleEdgar Alfredo Portilla-Flores; Maria Barbara Calva Yanez; Miguel Gabriel Villarreal-Cervantes; Paola Andrea Nino Suarez; Gabriel Sepulveda Cervantes. 2015. "An Optimum Synthesis of a Planar Mechanism Using a Dynamic-based Approach." IEEE Latin America Transactions 13, no. 5: 1497-1503.
María Bárbara Calva-Yáñez; Paola Andrea Niño-Suárez; Miguel Gabriel Villarreal-Cervantes; Gabriel Sepulveda-Cervantes; Edgar Alfredo Portilla-Flores. Differential Evolution for the Control Gain's Optimal Tuning of a Four-bar Mechanism. Polibits 2013, 47, 67 -73.
AMA StyleMaría Bárbara Calva-Yáñez, Paola Andrea Niño-Suárez, Miguel Gabriel Villarreal-Cervantes, Gabriel Sepulveda-Cervantes, Edgar Alfredo Portilla-Flores. Differential Evolution for the Control Gain's Optimal Tuning of a Four-bar Mechanism. Polibits. 2013; 47 ():67-73.
Chicago/Turabian StyleMaría Bárbara Calva-Yáñez; Paola Andrea Niño-Suárez; Miguel Gabriel Villarreal-Cervantes; Gabriel Sepulveda-Cervantes; Edgar Alfredo Portilla-Flores. 2013. "Differential Evolution for the Control Gain's Optimal Tuning of a Four-bar Mechanism." Polibits 47, no. : 67-73.