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Adoption of integrated MOS based pseudo-resistor (PR) structures instead of using off-chip passive poly resistors for analog circuits in complementary metal oxide semiconductor technology (CMOS) is an area-efficient way for realizing larger time constants. However, issue of common-mode voltage shifting and excess dependency on the process and temperature variations introduce nonlinearity in such structures. So there is dire need to not only closely look for the origin of the problem with the help of a thorough mathematical analysis but also suggest the most suitable PR structure for the purpose catering broadly to biomedical analog circuit applications.

In this work, incremental resistance (IR) expressions and IR range for balanced PR (BPR) structures operating in the subthreshold region have been closely analyzed for broader range of process-voltage-temperature variations. All the post-layout simulations have been obtained using BSIM3V3 device models in 0.18 µm standard CMOS process.

The obtained results show that the pertinent problem of common-mode voltage shifting in such PR structures is completely resolved in scaled gate linearization and bulk-driven quasi-floating gate (BDQFG) BPR structures. Among all BPR structures, BDQFG BPR remarkably shows constant IR value of 1 TΩ over −1 V to 1 V voltage swing for wider process and temperature variations.

Various balanced PR design techniques reported in this work will help the research community in implementing larger time constants for analog-mixed signal circuits.

The PR design techniques presented in the present piece of work is expected to be used in developing tunable and accurate biomedical prosthetics.

The BPR structures thoroughly analyzed and reported in this work may be useful in the design of analog circuits specifically for applications such as neural signal recording, cardiac electrical impedance tomography and other low-frequency biomedical applications.

Machining of curved channels using electrical discharge machining (EDM) is a novel approach. In this study, an experimental setup was designed, developed and mounted on die-sinking EDM to manufacture curve channels in AISI P20 mold steel.

The effect of specific machining parameters such as peak current, pulse on time, duty factor and lift over material removal rate (MRR) and tool wear rate (TWR) were studied. Multi-objective optimization was performed using Taguchi technique and Jaya algorithm.

The experimental results revealed current and pulse on time to have the predominant effect over material removal and tool wear diagnostic parameters with contributions of 39.67, 32.04% and 43.05, 36.52%, respectively. The improvements in material removal and tool wear as per the various optimization techniques were 35.48 and 10.91%, respectively.

Thus, Taguchi method was used for effective optimization of the machining parameters. Further, nature-based Jaya algorithm was implemented for obtaining the optimum values of TWR and MRR.

The purpose of this paper is to propose the dynamically balanced mechanism for cleaning unit used in the agricultural thresher machine using the system of point masses.

The cleaning unit works on crank-rocker Grashof mechanism. To balance the mechanism, the shaking forces and shaking moments are minimized by optimizing the mass distribution of links using the dynamically equivalent system of point masses. The point mass parameters are taken as the design variables. Then, the optimization problem is solved using Jaya algorithm and genetic algorithm (GA) under suitable design constraints.

The mass, center of mass and inertias of each link are calculated using optimum design variables. These optimum parameters improve the dynamic performance of the cleaning unit.

The proposed methodology is tested through the standard four-bar mechanism taken from literature and also applied to the existing cleaning mechanism of the thresher machine. It is observed that the Jaya algorithm is computationally more efficient than the GA. The dynamic analysis of the proposed mechanism is simulated using ADAMS software.

This paper aims to propose a dynamically balanced mechanism for cleaning unit used in agricultural thresher machine using a dynamically equivalent system of point masses.

The cleaning unit works on crank-rocker Grashof mechanism. This mechanism can be balanced by optimizing the inertial properties of each link. These properties are defined by the dynamic equivalent system of point masses. Parameters of these point masses define the shaking forces and moments. Hence, the multi-objective optimization problem with minimization of shaking forces and shaking moments is formulated by considering the point mass parameters as the design variables. The formulated optimization problem is solved using a posteriori approach-based algorithm i.e. the non-dominated sorting Jaya algorithm (NSJAYA) and a priori approach-based algorithms i.e. Jaya algorithm and genetic algorithm (GA) under suitable design constraints.

The mass, center of mass and inertias of each link are calculated using optimum design variables. These optimum parameters improve the dynamic performance of the cleaning unit. The optimal Pareto set for the balancing problem is measured and outlined in this paper. The designer can choose any solution from the set and balance any real planar mechanism.

The efficiency of the proposed approach is tested through the existing cleaning mechanism of the thresher machine. It is found that the NSJAYA is computationally more efficient than the GA and Jaya algorithm. ADAMS software is used for the simulation of the mechanism.

Travelers are increasingly planning trips using smart travel planning apps to manage travel-related activities. They obtain their preferred tour itineraries with the use of these apps and subsequently choose their tour destinations. Therefore, the purpose of this study is to investigate the effects of smart tour itineraries on travelers and explain what drives the continual use of them.

Drawing on the unified theory of acceptance and the use of technology model and experiential consumption (UTAUT), the authors conducted this study in Malaysia with a sample of 307 travelers who are familiar with the use of mobile apps.

The results confirmed that all the UTAUT dimensions except the facilitating condition are significantly related to the intention to use the itinerary. Both the hedonic and utilitarian values in personal consumption significantly motivate the travelers in the behavioral intention to use the itinerary.

This paper offers a good explanation of how the itinerary plans can be used by examining the theories behind the current app’s usage. Many researchers have examined the adoption of the smart travel apps, which has rarely been tied to the antecedents that drive how the travelers use itineraries that are designed by the smart travel apps. This study contributes to the research regarding using the mobile travel apps by developing an integrative model to explain the traveler intentions to use smart travel itineraries.

游客越来越多地使用智慧旅游计划App来管理他们的旅游相关活动。他们通过这样的App获得行程从而选择他们旅游目的地。因此, 本论文旨在研究智慧旅游行程对游客的影响, 并探究哪些因素驱使他们继续使用智慧旅游行程。

本论文采用UTAUT模型, 在马拉西亚取样, 共搜集到307位熟悉移动App的游客数据。

研究论文结果肯定了UTAUT各项因素除了辅助条件, 其他因素都显著与使用智慧行程息息相关。享乐型价值和实用型价值都对游客个人使用行为有着显著效果。

本论文通过检验App使用理论解释了行程计划如何被使用。许多研究学者已经检验了智慧旅游App的使用, 但是很少真正与游客如何使用App生成行程的驱动因素相结合。本论文对理论有贡献, 通过开发整合模型以解释游客使用智慧旅游行程的行为。

The purpose of this paper is to investigate a dissipative reinforced concrete structural wall that can improve the behavior of a tall multi-storey building. The main objective is to evaluate the damage of a dissipative wall in comparison with that of a solid wall.

In this paper, a comparative nonlinear dynamic analysis between a dissipative wall and a solid wall is performed by means of SAP2000 software and using a layer model. The solution to increase the seismic performance of a reinforced concrete structural wall is to create a slit zone with short connections. The short connections are introduced as a link element with multi-linear pivot hysteretic plasticity behavior. The behavior of these short connections is modeled using the finite element software ANSYS 12. In this study, the authors propose to evaluate the damage of reinforced concrete slit walls with short connections using seismic analysis.

Using the computational model created in the second section of the paper, a seismic analysis of a dissipative wall from a multi-storey building was done in the third section. From the results obtained, the advantages of the proposed model are observed.

A simple computational model was created that consume low processing resources and reduces processing time for a dynamic pushover analysis. Unlike other studies on slit walls with short connections, which are focussed mostly on the nonlinear dynamic behavior of the short connections, in this paper the authors take into consideration the whole structural system, wall and connections.

This article investigates the determinants of knowledge management system (KMS) adoption, specifically with reference to Malaysian organizations across various industries.

The structural equation modelling approach using PLS technique was utilized to analyze the hypotheses developed, based on the survey data from 830 respondents comprised of information technology or knowledge management managers in Malaysian organizations from various industries.

Knowledge management (KM) enabling processes, perceived usefulness of KMS, knowledge sharing culture, knowledge taxonomy, and policy and procedure for KMS work, display significant positive effects on the KMS adoption level, with KM enabling processes having the strongest significant positive influence. Meanwhile, incentive and reward, management commitment, and KMS perceived ease of use possess no significant direct effect. However, management commitment was found to have an indirect effect on the KMS adoption level, where its effect is mediated by knowledge sharing culture.

This article outlines several managerial implications for enhancing the adoption of KMS, which include establishing appropriate KM enabling processes, identifying pertinent information to be preserved, shared, and reuse, and generating initiatives to instil a culture of knowledge sharing.

The empirical findings support the relevancy of the technology acceptance model (TAM) construct of perceived usefulness in KMS adoption context and advances the understanding that knowledge sharing culture is a highly influential factor for this construct. This study enriches and extends technology acceptance theory by presenting a more holistic model for KMS adoption with the integration of influencing factors that are inherent to organization.