A Study On Hpo From The Employees’ Perspective In Selected Public Sector In Pakistan

This study aims to test the five indicators of High Performance Organization (HPO) framework derived by the Professor De Wall in the selected public sector organization in Pakistan with the purpose to identify the performance status and to propose the solution to improve the identified poor factors resulted from the tested HPO framework. For this purpose, explanatory sequential method of mix methodology is applied whereby the quantitative method is used to assess the performance status and the qualitative method is used to propose the improvement solutions to the public sectors organizations. HPO framework had a structured questionnaire of 35 items and it was used to collect data from 513 respondents from three selected public service organizations of Pakistan. The quantitative study results indicated low performance status of public sector organizations. This study found that HPO framework explained 27.5% variance in the performance of public sector organizations in Pakistan. Therefore, this study concluded that the HPO framework is applicable in Pakistani context but it is not a “quick fix” to achieve HPO in Pakistan. In the qualitative method, there were twelve interviews attending to three main interview questions had been conducted in the same organization to the top management of public sector organizations in Pakistan. Thematic network analysis was applied to analyze these public organizations’ understanding on HPO, and to explore the reasons of low mean score of the tested factors in the HPO framework. This study concluded that there is good level of understanding on HPO in public sector organizations of Pakistan, however, the practiced of HPO was found missing in the public sector organizations

Justice Institutions Performance and Employees’ Job Satisfaction: A Case of Afghanistan Justice Institutions

This study intends to know justice sector employees views of their institutions in terms of their satisfaction, access to justice level and their standard perofrmance. Present research consider employees of three main justice sector institutions namely Attorney general Office, Ministry of justice and Supreme Court employees. Quantitative methodology is applied through five point lickert scale questionnaire. Questionnaire was administered among 234 subjects of the same institutions who were the training participants, train by independent directorate of local governance of Afghanistan. Data was properly entered in IBM-SPSS and analyzed through descriptive and inferential statistics. Analysis of Variance (ANOVA) and t-test was applied to test five hypotheses of the study. Study concluded that majority of the justice sector employees is of the view that justice sector institutions’ performance is not up to the mark. Keywords: Employees’ Views, Justice System, Performance, Afghanistan

Study on Biodiesel plants growth performance and tolerance to water stress under semi desert conditions

In this research, we studied the growth performance and tolerance of three biodiesel plants namely; Jatropha curcas, Moringa oleifera and Ricinus communis to water stress. Research conducted on the three different soils from Kaita, Jibiya and Mai’adua in the semi-desert environments of Katsina State, Nigeria. The findings revealed that pH, electrical conductivity, water holding capacity and moisture retention of the soils were less variable in the soils. Regarding the growth performance, J. Curcas has the highest number of germinating seeds from 45% to 65% without amendments and 80% to 85% soil under amendments. In M. oleifera was 35% to 40% and 65% to 80% while, R. communis has least counts ranging from 20% to 30% and 35% to 50% under two different conditions. Similarly, J. curcas has lesser time for seed germination in non-amended conditions, but under amendments, J. curcas and M. oleifera shown more or less similar time for seeds germination. In R. communis, was late but there was most significant decrease to about 41.53% after treatments. The growth rate from the growth parameters (length, number of leaves and biomass) indicated that M. oleifera has the highest rate reaching up to 42.19cm in length, 320 numbers of leaves and 38.03g biomass per plant. However, the growth rate in J. curcus was average by comparing the three species and found lowest in R. cummunis under both conditions. However, there was no significant increase in plants growth in amended soil as in jibia soil. The tolerance of plants to water stress varies with J. curcus having greater tolerance as it prolongs it’s temporary taking up to 19 days before attaining permanent wilting in jibia soil. However, M. oleifera has an average tolerance in comparison, between the three, but early temporary and permanent wilting period in 1 to 3 days exhibits by R. communis portrays its disability to tolerate water stress in the environments.Key Words: Amendment, Biodiesel, Retention, Tolerance, Texture, Wiltin

Motion of falling object

A simple setup was assembled to study the motion of an object while it falls. The setup was used to determine the instantaneous velocity, terminal velocity and acceleration due to gravity. Also, since the whole project was done within $20 it can easily be popularized.Comment: 11 pages, 4 figur

ハイノRNAノアンテイセイニシテンヲオイタイネノシュシジュミョウニカンスルケンキュウ

博士（農学）東京農工大

Multiresolution Dynamic Mode Decomposition (mrDMD) of Elastic Waves for Damage Localisation in Piezoelectric Ceramic

The performance of piezoelectric sensors deteriorated due to the presence of defect, delamination, and corrosion that needed to be diagnosed for the effective implementation of the structural health monitoring (SHM) framework. A novel experimental approach based on Coulomb coupling is devised to visualise the interaction of ultrasonic waves with microscale defects in the Lead Zirconate Titanate (PZT). Multiresolution dynamic mode decomposition (mrDMD) technique in conjunction with image registration, and Kullback Leibler (KL) divergence is utilised to diagnose and localise the surface defect in the PZT. The mrDMD technique extracts the spatiotemporal coherent mode and provides an equation-free architecture to reconstruct underlying system dynamics. Additionally, due to the strong connection between mrDMD and Koopman operator theory, the proposed technique is well suited to resolve the nonlinear and dispersive interaction of elastic waves with boundaries and defects. The mrDMD sequentially decomposes the three-dimensional spatiotemporal data into low and high frequency modes. The spectral modes are sensitive to defects based on the scaling of wavelength with the size of the defect. The error due to offset and distortion was minimised with ad hoc image registration technique. Further, localisation and quantification of defect are performed by evaluating the distance metric of the probability distribution of coherent data of mrDMD acquired from healthy and defected samples. In the arena of big-data that is ubiquitous in SHM, the paper demonstrates an efficient damage localisation algorithm that explores the nonlinear system dynamics using spectral multi-mode resolution techniques by sensitising the damage features

A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN)

The practical application of data-driven frameworks like deep neural network in acoustic emission (AE) source localization is impeded due to the collection of significant clean data from the field. The utility of the such framework is governed by data collected from the site and/or laboratory experiment. The noise, experimental cost and time consuming in the collection of data further worsen the scenario. To address the issue, this work proposes to use a novel multi-fidelity physics-informed neural network (mfPINN). The proposed framework is best suited for the problems like AE source detection, where the governing physics is known in an approximate sense (low-fidelity model), and one has access to only sparse data measured from the experiment (highfidelity data). This work further extends the governing equation of AE source detection to the probabilistic framework to account for the uncertainty that lies in the sensor measurement. The mfPINN fuses the data-driven and physics-informed deep learning architectures using transfer learning. The results obtained from the data-driven artificial neural network (ANN) and physicsinformed neural network (PINN) are also presented to illustrate the requirement of a multifidelity framework using transfer learning. In the presence of measurement uncertainties, the proposed method is verified with an experimental procedure that contains the carbon-fiberreinforced polymer (CFRP) composite panel instrumented with a sparse array of piezoelectric transducers. The results conclude that the proposed technique based on a probabilistic framework can provide a reliable estimation of AE source location with confidence intervals by taking measurement uncertainties into account

Rancang Bangun Detektor Asap Rokok Berbasis Mikrokontroler dengan menggunakan Notifikasi SMS Gateway (Study Kasus Pondok Pesantren Mazahirul Ulum)

Hasil dari penelitian ini adalah dihasilkannya sebuah alat Deteksi Asap Rokok dengan memanfaatkan sms kiriman dari sim900 sebagai report alert dan juga Buzzer sebagai pengirim sinyal berupa bunyi beep berbasis arduino uno sebagai input/output data yang akan di proses. Dari hasil pengujian yang dilakukan oleh peneliti alat ini berfungsi dengan baik dan mampu mengatasi permasalahan yang selama ini dialami

Stiffness tensor estimation of anisotropic crystal using point contact method and unscented Kalman filter

The potential application of Lithium Niobate (LiNbO3) crystal is immense, specifically in the domain of metasurfaces and nano-resonators. However, the practical application of LiNbO3 is impeded due to unreliable experimental techniques and inaccurate inversion algorithms for material characterization. In the current research, material characterization of anisotropic crystal is proposed by exploring the wavefield evolution in the spatial and temporal domains. The presented framework has three major components: a physics-based mathematical model (Christoffel equation), a novel experimental technique, and an inversion algorithm based on Bayesian filtering. An experimental technique based on Coulomb coupling is devised to visualize the propagation of ultrasonic waves in an anisotropic crystal. The crystal is characterized by measuring the directional-dependent acoustic wave velocity from the spatial–temporal information of the wave propagation. The anisotropic constitutive properties of the crystal are estimated by exploring the wave velocity in the Bayesian filtering algorithm. The proposed algorithm is based on the probabilistic framework that integrates the experimental measurement in a physics-based mathematical model for optimal state prediction of stiffness tensor through the Bayesian filtering algorithm. In particular, we utilize the unscented Kalman filter (UKF) in conjunction with the plane-wave Eigen solution to estimate the constitutive parameters. In the presence of measurement uncertainties, the performance of the optimal prediction algorithm is illustrated by comparing the estimated parameter with the corresponding theoretical value. The comparison demonstrates that the proposed inversion algorithm is efficient and robust and performs satisfactorily even with significant measurement uncertainties

Introduction of the "Tarikh i Bayhaq" of Dhahiru'd-din Abu'l-Hasan 'Ali b. Zayd al-Bayhaqi.

The Tarikh-i-Bayhaq is one of the few rare and precious works that have survived the awful Mongol invasion. The work, as its name implies, is a history of the famous district of Bayhaq, in Khurasan, completed in the year 563 A.H.- 1167 A.D., by an inhabitant of the district, called Dhahiru'd-Din Abu'l-Hasan 'Ali b. Zayd al-Bayhaqi, who died two years after completing the work. This important work was not paid attention to until quite recent years. The present dissertation is upon the work, and it is divided into three parts. The First deals with the Author; his correct laqab; his birth, and birthplace; details of his education; his marriage to the daughter of the Governor of Ray; his appointment as Ail and Governor; ant his candidature for the ministry under Sultan Sanjari and the author's ancestors, who were honoured by their contemporaries, wasirs and kings. the second part deals with the work, which is the most important existing source of information upon the culture of Bayhaq. This part includes the suggestion that lesidn'llah UUstawfi had the Tdrikh-i-Bayhaq in view when he wrote his Tdrikh-i-Gusida; it also contains the earliest account of 4b01-11141 Bayhaqi, the eminent historian, and his unknown book anatull-Kuttib; a detailed account of the celebrated t4tzfr Nidhitmull-Ailk and his descendants; version literature of the sixth century; and translations of biographical sketches of authors and other eminent men mentioned in the Arfkh-i-Bayhaq. The third part seals with other works of the Author; some eighty books, written in j..rabio and in 4arsian; his existing book the Arikh-l-4ukamAul1-Islfim, which contains the earliest account of 'Umar Khayyam; its reproduction in the Nuzhatull-Arwah by Shahrasuri; its MSS. in different libraries; translations of biobraphioal sketches of eminent Muslim and Christian authors mentioned in it; and some details of his non-existent works