Review on the enhancement and performance of continues helical baffles tie double pipe heat exchanger

This paper provides a review of the major work done on helical baf?es to improve the performance of shell and tube heat exchangers. Some of the major factors affecting the performance of shell and tube heat exchanger are discussed. The CFD modeling and experimental are showed from different studies that an increase in turbulence intensity could be one of the reasons for higher performance augmentation methods with the plain tubes heat exchanger. Heat transfer performance and flow resistance of the shell side of the double-pipe heat exchanger with helical baffle can be done investigated by using CFD numerical simulation software

比例筋電位制御に向けた筋シナジーの抽出、解釈、および応用の研究

Transfer of human intentions into myoelectric hand prostheses is generally achieved by learning a mapping, directly from sEMG signals to the Kinematics using linear or nonlinear regression approaches. Due to the highly random and nonlinear nature of sEMG signals such approaches are not able to exploit the functions of the modern pros- thesis, completely. Inspired from the muscle synergy hypothesis in the motor control community, some studies in the past have shown that better estimation accuracies can be achieved by learning a mapping to kinematics space from the synergistic features extracted from sEMG. However, mainly linear algorithms such as Principle Compo- nent Analysis (PCA), and Non-negative matrix factorization (NNMF) were employed to extract synergistic features, separately, from EMG and kinematics data and have not considered the nonlinearity and the strong correlation that exist between finger kine- matics and muscles. To exploit the relationship between EMG and Finger Kinematics for myoelectric control, we propose the use of the Manifold Relevance Determination (MRD) model (multi-view learning) to find the correspondence between muscular and kinematics by learning a shared low-dimensional representation. In the first part of the study, we present the approach of multi-view learning, interpretation of extracted non- linear muscle synergies from the joint study of sEMG and finger kinematics and their use in estimating the finger kinematics for the upper-limb prosthesis. Applicability of the proposed approach is then demonstrated by comparing the kinematics estimation accuracies against linear synergies and direct mapping. In the second part of the study, we propose a new approach to extract nonlinear muscle synergies from sEMG using multiview learning which addresses the two main drawbacks (1. Inconsistent synergistic patterns upon addition of sEMG signals from more muscles, 2. Weak metric for accessing the quality and quantity of muscle synergies) of established algorithms and discuss the potential of the proposed approach for reducing the number of electrodes with negligible degradation in predicted kinematics.九州工業大学博士学位論文 学位記番号：生工博甲第372号 学位授与年月日：令和2年3月25日1 Introduction|2 Related Work|3 Extraction of nonlinear synergies for proportional and simultaneous estimation of finger kinematics|4 An Approach to Extract Nonlinear Muscle Synergies from sEMG through Multi-Model Learning|5 Conclusion and Future Work九州工業大学令和元年

比例筋電位制御に向けた筋シナジーの抽出、解釈、および応用の研究

九州工業大学博士学位論文（要旨）学位記番号：生工博甲第372号 学位授与年月日：令和2年3月25

Effect of agro-input management practices on yield of linseed (Linum usitatissimum L.) under vertisols of Chhattisgarh, India

A field experiment was conducted to study the effect of agro-input management practices on yield of linseed (Linum usitatissimum L.) at the Instructional cum Research Farm, Indira Gandhi Krishi Vishwavidyalaya, Raipur, (C.G.) during Rabi 2015-16. Different agro input management practices had significant (P=0.05) effect on growth, yield attributes and yield of linseed. However, seed rates did not give significant influence on seed yield. Whereas, application of RDF + FYM placement in rows @ 5 t ha-1 (N3) recorded significantly (P=0.05) higher growth parameters viz. plant height (88.44 cm), primary branches plant-1 (3.83), secondary branches plant-1 (23.39), dry matter accumulation (6.76 g plant-1) and yield attributes viz. capsules plant-1 (30.86), seeds capsule-1(7.63), seeds plant-1 (235.32), seed yield (2100 kg ha-1) and stover yield (4885 kg ha-1). In case of foliar spray, application of 2 % urea at 15, 40, 65 and 90 DAS (F3) gave significantly higher growth parameters viz. plant height (88.37 cm), primary branches plant-1(3.82), secondary branches plant-1 (23.68), dry matter accumulation (6.59 g plant-1) and yield attributes viz. capsules plant-1(31.74), seeds capsule-1(7.63), seeds plant-1 (241.38), seed yield (2089 kg ha-1) and stover yield (4772 kg ha-1). Interaction among seed rate 30 kg ha-1 (S2) X RDF 60:30:30 N: P: K kg ha-1 (N1) with foliar application of 2 % urea at 15, 40, 65 and 90 DAS (F3) (S2 XN1X F3) recorded the highest benefit-cost ratio (4.39). Line placement of FYM was better than broadcasting in terms of seed yield; and foliar application of urea was economical than Nitrobenzene