Utilization Of Internal Resources Research Articles

Application of image processing technology based on field programmable gate array in mechanical part inspection

Introduction: In the field of industrial manufacturing, accurate inspection of mechanical components such as gears and bearings is of Paramount importance. However, the traditional mechanical testing methods are often disturbed by human factors, which not only affects the stability of the test results, but also leads to low efficiency and large error. In order to solve these problems, this research focuses on developing a new edge detection model.Methods: A novel edge detection model based on field-programmable gate array image processing technology was used in this study. The model uses adaptive threshold multi-directional edge detection technology to identify the edge features of mechanical gears and bearings, aiming at improving the precision of detection.Results and Discussion: After performance verification, the running time of the model was controlled within 11 s, and the detection error was limited to less than 9%. Compared with the control group and the experimental group, their performance was superior. Further analysis data show that the detection accuracy of this model is as high as 0.9004, its internal resource utilization rate is 88%, and the detection rate is as high as 91%, which are better than the comparison model.Conclusion: The proposed test model not only significantly improves the efficiency and accuracy of the test, but also fully meets the requirements of the test. This new edge detection model has potential application value in industrial manufacturing field, and provides a new solution for industrial manufacturing quality inspection.

Intellectual capital, green innovation, and financial performance: The mediating role of sustainability

This research aims to find out how internal resources, intellectual capital, and green innovation in West Java's creative industries can improve small businesses financial performance. Besides, this research also examines the sustainability of small businesses in mediating the effect of intellectual capital and green innovation on financial performance. The research sample consists of 335 respondents who are owners and creative industry workers in West Java, Indonesia. The data were collected using a questionnaire and analyzed using Structural Equation Modeling (SEM). The results indicate that Intellectual Capital (IC ) and green innovation improve financial performance and sustainability. This research establishes a mediator role for sustainability in the interaction between intellectual capital, green innovation, and financial success. This study demonstrates the significance of sustainability in helping small businesses achieve high financial performance. This study highlights the significance of integrating sustainability practices inside the small business sector to optimize revenues through the utilization of internal resources, including intellectual capital and green technologies. This study offers practical implications for small businesses in Indonesia, suggesting that sustainability should be implemented to improve financial performance.

Abstract ED5-2: Support for patients with MBC

Abstract ED5-2: Support for patients with MBC

How to Translate Creative Ideas into Innovation?Differential Resources for Proactive and Responsive Team Idea Generation

ABSTRACT A core challenge for team innovation is the successful translation of creative ideas into innovation through implementation. This study examines the tension between internal and external team resourcing behaviors that account for how teams translate their creative ideas into implemented innovation. Drawing on conservation of resource theory, we propose that motivational underpinnings of team idea generation predict team resourcing behaviors that directly affect team innovation implementation. Path analysis of a field survey data collected from 91 teams showed that teams that generated creative ideas proactively for internal interest effectively utilized internal resources but failed to acquire external resources for innovation implementation. By contrast, teams that generated ideas in response to external demands effectively acquired external resources but encountered diminished internal resources. These unbalanced resourcing patterns were partially resolved by team leadership, such that the negative indirect effect of responsive idea generation on innovation implementation via reduced internal resource utilization disappeared when internal-integration leadership was high. This study offers new theoretical insights into the transition between idea generation and implementation by identifying tension between teams’ internal and external resources as the core intermediating mechanism.

Clinical utility and value contribution of an MRI-positive line marker for image-guided brachytherapy in gynecologic malignancies

PurposeThe purpose of this study was to investigate the utility of a novel MRI-positive line marker, composed of C4:S (cobalt chloride–based contrast agent) encapsulated in high-density polyethylene tubing, in permitting dosimetry and treatment planning directly on MRI. Methods and MaterialsWe evaluated the clinical feasibility of the C4:S line markers in nine sequential brachytherapy procedures for gynecologic malignancies, including six tandem-and-ovoid and three interstitial cases. We then quantified the internal resource utilization of an intraoperative MRI-guided procedural episode via time-driven activity-based costing, identifying opportunities for cost-containment with use of the C4:S line markers. ResultsThe C4:S line markers demonstrated the strongest positive signal visibility on 3D constructive interference in steady state (CISS)/FIESTA-C followed by T1-weighted sequences, permitting accurate delineation of the applicator lumen and thus the source path. These images may be fused along with traditional T2-weighted sequences for optimal tumor and anatomy contouring, followed by treatment planning directly on MRI. By eliminating postoperative CT for fusion and applicator registration from the procedural episode, use of the C4:S line markers could decrease workflow time and lower total delivery costs per procedure. ConclusionsThis analysis supports the clinical utility and value contribution of the C4:S line markers, which permit accurate MRI-based dosimetry and treatment planning, thereby eliminating the need for postoperative CT for fusion and applicator registration.

Invited Lecture 11: Pakistan Response to COVID-19: Turning Calamity into an Opportunity The Current State: Challenges Ahead

Brief Biosketch Prof. M. Iqbal Choudhary has done his PhD and D.Sc from the University of Karachi. Prof. M. Iqbal Choudhary is Director ICCBS and Professor of Bioorganic and Natural Product Chemistry. Prof. Choudhary has made pioneering contributions in the discovery of novel natural products since 1990. He has discovered many potent anti-epileptic and anti-leishmanial compounds from indigenous medicinal plants that are under clinical trials. Prof. Choudhary has 1,027 publications (Citations above 23,000, h index 62) in the fields of organic and bioorganic chemistry, along with 57 international patents (51 US Patents), 68 books, and 40 chapters in books. His areas of research interest are Bioorganic and structural organic chemistry. The coronavirus first originated from Wuhan city of China causes the world upside down. The novel coronavirus merely in 12 weeks has led to the first pandemic in over a century. The top issue for states and governments around the globe is tackling COVID-19 to resume socio-economic status, and revert to normal routine life. Pakistan was caught unprepared. Despite the outbreak in the neighbour country, there was a lack of appreciation of the volume of land travel between the borders. Facilities to screen and quarantine potential carriers were negligible. Initially, the diagnostic facilities for massive coronavirus screening program and life-supporting equipment facilities were limited. The subsequent responses by the federal and provisional governments, law enforcement agencies, philanthropists, universities, and research institutions were robust. Such authorities developed coordinated activities to overcome such barriers, and to establish a well-developed infrastructure in the health care system in Pakistan. The focus was on utilization of internal resources to provide personal protective equipment to frontline healthcare practitioners, staff members, develop diagnostic assay kit, and life-supporting equipment, etc. Indeed, to combat future epidemics and pandemics, countries need to prepare themselves by getting more knowledge at the molecular level of infectious diseases, and diagnostics system. Besides, there is also a need for the advancement of technology to keep pace with the rapidly evolving microbial world.

Developing an intraoperative 3T MRI-guided brachytherapy program within a diagnostic imaging suite: Methods, process workflow, and value-based analysis

PurposeWe integrated a brachytherapy procedural workflow within an existing diagnostic 3.0-T (3T) MRI suite. This setup facilitates intraoperative MRI guidance for optimal applicator positioning, particularly for interstitial needle placements in gynecologic cases with extensive parametrial involvement. Methods and MaterialsHere we summarize the multidisciplinary collaboration, equipment, and supplies necessary to implement an intraoperative MRI-guided brachytherapy program; outline the operational workflow via process maps; and address safety precautions. We evaluate internal resource utilization associated with this progressive approach via time-driven activity-based costing methodology, comparing institutional costs to that of a traditional workflow (within a CT suite, followed by separate postprocedure MRI) over a single brachytherapy procedural episode. ResultsResource utilization was only 15% higher for the intraoperative MRI-based workflow, attributable to use of the MRI suite and increased radiologist effort. Personnel expenses were the greatest cost drivers for either workflow, accounting for 76–77% of total resource utilization. However, use of the MRI suite allows for potential cost-shifting opportunities from other resources, such as CT, during the procedural episode. Improvements in process speed can also decrease costs: for each 10% decrease in case duration from baseline procedure time, total costs could decrease by roughly 8%. ConclusionsThis analysis supports the feasibility of an intraoperative MRI-guided brachytherapy program within a diagnostic MRI suite and defines many of the resources required for this procedural workflow. Longer followup will define the full utility of this approach in optimizing the therapeutic ratio for gynecologic cancers, which may translate into lower costs and higher value with time, over a full cycle of care.

Multiperiod Stochastic Resource Planning in Professional Services Organizations

ABSTRACTResource planning (RP) in a professional service organization matches workforce resources with project tasks while considering a myriad of factors such as skill requirements, service delivery role, skill type, workforce proficiency level, and geographical location. The multiperiod stochastic resource planning studied in this article extends the one‐period deterministic resource planning by explicitly coping with both internal resource attrition and project demand uncertainty in a sequential decision‐making framework. It allows resource managers to make effective use of their internal resources and identify the need to outsource to external contingent resources. We model the multiperiod stochastic resource planning as a Markov decision process and implement an approximate dynamic programming algorithm to obtain dynamic and adaptive solutions in reasonable computation times. A comprehensive computational study shows that our approximate dynamic programming algorithm achieves higher profitability and internal resource utilization compared to the rolling horizon approach used as a benchmark.

Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach

This investigation aims to propose a hybrid three-stage Structural Equation Modeling (SEM) - Artificial Neural Network (ANN) - Interpretive Structural Modeling (ISM) approach, together abbreviated as the SEANIS, for analyzing the factors influencing cloud computing adoption (CCA) services in the context of Indian private organizations. This study proposed new determinants, namely risk analysis and perceived IT security risk as an extension of the Technology Organization Environment (TOE) model. The data collected from the industry experts were analyzed using SEM and ANN approaches. The results of SEM revealed that trust (T), management style (MS), technology innovation (TI), risk analysis (RA), and perceived IT security risk (PITR) exercised a significant influence on CCA. The SEM results were taken as inputs for the ANN approach and ISM methodology. The results of ANN highlighted that perceived IT security risk, trust, and management style were the most important determinants for CCA. On the other hand, the ISM tool identified five factors, namely, decrease of internal systems availability (F1) (PITR cluster), utilization of internal resources (F14) (MS cluster), assurance of data privacy increases adoption rate (F16) (T cluster), innovativeness (F21), and previous experience (F22) (both from the TI cluster) as the top five significant variables with high driving power, among the 43 factors. The outcome of the hybrid approach is intended to guide the decision and policy-makers for easy evaluation of their organizational goals for choosing the most suitable computing environment for improving the efficiency and effectiveness of their business performance.

Pinpointing and scheduling access conflicts to improve internal resource utilization in solid-state drives

Modern solid-state drives (SSDs) are integrating more internal resources to achieve higher capacity. Parallelizing accesses across internal resources can potentially enhance the performance of SSDs. However, exploiting parallelism inside SSDs is challenging owing to real-time access conflicts. In this paper, we propose a highly parallelizable I/O scheduler (PIOS) to improve internal resource utilization in SSDs from the perspective of I/O scheduling. Specifically, we first pinpoint the conflicting flash requests with precision during the address translation in the Flash Translation Layer (FTL). Then, we introduce conflict eliminated requests (CERs) to reorganize the I/O requests in the device-level queue by dispatching conflicting flash requests to different CERs. Owing to the significant performance discrepancy between flash read and write operations, PIOS employs differentiated scheduling schemes for read and write CER queues to always allocate internal resources to the conflicting CERs that are more valuable. The small dominant size prioritized scheduling policy for the write queue significantly decreases the average write latency. The high parallelism density prioritized scheduling policy for the read queue better utilizes resources by exploiting internal parallelism aggressively. Our evaluation results show that the parallelizable I/O scheduler (PIOS) can accomplish better SSD performance than existing I/O schedulers implemented in both SSD devices and operating systems.

Relations between open innovation and product quality: an empirical study of Japanese electronics firms

In late years, the concept of open innovation receives attention from industry and academic. This concept means that firms utilize resources outside for their R&D beyond their boundaries. Behind this background is the fact that firms have more opportunities to utilize resources outside. Previous studies indicate that by utilizing resources outside, firms could make R&D process more efficient or create new products. On the other side of the coin, we have to solve some aspects in open innovation context. First, product quality on the basis of activities of open innovation has to be defined. The definition of product quality is still unclear; thus, it is necessary to identify product quality in open innovation context. In addition, comparison between open innovation and in-company cooperation is not done so much. In the examination of effectiveness of open innovation, we should compare utilization of resources outside with that of in-company ideas. In this paper, we quantitatively analyze relations among product quality, utilization of resources outside, and utilization of internal resources on the basis of Covariance Structure Analysis. This analysis is based on a questionnaire survey at Japanese electronics firms in July 2015.

Composite Fish Farming in West Bengal, India: Redesigning Management Practices during the Course of Last Five Decades

Composite carp farming is a poly-species pond culture system in which three Indian major carps (IMC) ( Labeo catla , Labeo rohita and Cirrhinus mrigala ) are co-stocked with three exotic major carps ( Hypophthalmicthys molitrix , Ctenopharyngodon idella and Cyprinus carpio ). This system is a practical modification of the original three species IMC polyculture so as to fill the vacant niches in a pond ecosystem for optimizing internal resource utilization and thereby a means of increasing productivity. Such system was officially introduced during 1971 with standard management protocols and established as the mainstay in inland aquaculture practice in India. During the course of almost half a century, several alterations in every stages of management of composite carp culture have been made by the farmers solely guided by their experiences and acquired expertise through the ages which are proved economical. The present review discussed the alterations made by the farmers in composite farming based upon the findings recorded in two purposively selected districts (East Burdwan and 24 Pgs. (N) in West Bengal, India as the state is one of the highest producers of carps in the country.

Design of an Static Reconfiguration Based on FPGA System

Aiming at the problem of limited logical resources of FPGA and low rates of internal resource utilization, the design of the static reconfiguration system was introduced in this paper. Based on the structure of CPLD matching FPGA, the static reconfiguration system is able to enhance the scalability of the FPGA device. Major functionality in the static reconfiguration system is accomplishing field reconfiguration of the FPGA device without PC. Users are able to flexibly change the different configuration files in FPGA for that the internal resources of FPGA are occupied by the configuration files of different function at different times. The experimental results showed that the system achieved dynamic switching between different logic function and time division multiplexing of internal resources. The generality of FPGA and the rates of internal resource utilization were improved and the power dissipation was reduced by this design.

Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives

This study applies a network data envelopment analysis model called network slacks-based measure (NSBM) to examine the R&D efficiency and socio-economic efficiency of Taiwan's dual-use (military and general public) technology development programs. We also employ the additive super-efficiency model to distinguish programs at different stages and conduct an analysis on the strengths and weaknesses of internal resource utilization. The results of this study show that the R&D efficiency is substantially higher than the socio-economic efficiency. Among the dual-use technology development programs, material and chemical engineering programs demonstrate relatively higher performance. This study provides insights into the policy of resource utilization.

Analysis of Competitive Advantage in the perspective of Resources Based View.

Conditions of competition between colleges service providers, both private and state, require leaders and college administrators to do everything possible in order to gain competitive advantage compared with other similar institutions. In the perspective of RBV attempt to gain competitive advantage through the utilization of internal resources of the organization consisting of tangible aspects, intangible aspects, as well as the capability aspects. So far, in the research of Competitive Advantage on RBV perspective, in the context of universities has not existed yet that combine the aspects of tangible, intangible, and capability in a research model to study. This study aims to analyze the effect of market orientation, HR Competencies and Territory Management in creating a competitive advantage, as well as its impact on organizational performance. The survey research is conducted at 142 Institutions of Higher Education of Muhammadiyah in Indonesia, represented by the head of each institutions. The research findings indicate that Competitive Advantage is significantly influenced by market orientation and HR (Human Resources) Competence. Meanwhile, HR Competency directly no significant effect on organization performance, but must be mediated by a Competitive Advantage. Meanwhile, the Territory Management can directly affect the performance of organizations, but has no effect on Competitive Advantage.

Examining human resource management outsourcing in Hong Kong

This study explored the state of human resource (HR) outsourcing in the Asian context, a particularly important subject given its rapid proliferation in Europe and North America, the inconsistent and limited evidence from prior research, and its strategic importance to the human resource management (HRM) function. Drawing on both quantitative and qualitative data and the transaction cost, resource-based, and institutional perspectives, we found that although respondents were generally favourable towards outsourcing, that in practice its adoption and diffusion were in a nascent stage in Hong Kong. Decisions to outsource were, by and large, incremental and experimental and influenced by a range of contextual factors (e.g., availability of in-house expertise, skills and creativity, strategic priorities, legislation (coercive), availability of external service providers, and industry and peer (mimetic) influence). Despite considerable pressure to cut costs, instead of outsourcing in the first instance, firms placed greater emphasis on maximising internal resource utilization (insourcing). Implications for practice and suggestions for future research are also provided.

Learning through Teaching

This work is the result of a study undertaken aimed at providing an insight into the way individuals learn through their work in an organization. Twenty interviews were held with 20 managers, each lasting between 8 and 10 hours, in which a total of 282 learning stories were acquired. All those interviewed gave accounts of the learning potential that was acquired when they took on the role of teachers within their organization. Observation, listening and experimentation were the most common processes in facilitating learning during the course of teaching. The great learning potential inherent in teaching would appear to be generated as the result of a particular aspect of the teaching process itself: the encounter with diversity, which on the one hand tends to increase reflexivity while on the other hand tends to break down resistance to change. In this sense, the learning process that emerges during the course of teaching is of an intrinsically social nature, made possible by the investigation of an authentically symmetrical relationship between teacher and pupils in which all the interlocutors are able to contribute to a common goal. Teaching also proved to be an important opportunity for recognizing one's own ignorance and thereby rendering oneself open to the possibility of learning. The results of this study confirm certain evolutionary trends which are to be found in the current method of planning managerial training: the utilization of internal resources, the use of a dialogic style, the search for a link between work and training, and the use of small groups. The actual narration and exchange of learning stories also provided an opportunity for promoting the learning process in those interviewed.

Exploring the potential for improved internal nutrient cycling in dairy farming systems, using an eco-mathematical model

Nutrient management at Dutch dairy farms is changing rapidly from strong reliance on external inputs to more prudent utilization of internal resources. This paper explores opportunities and constraints arising from this shift towards eco-technological management. A mathematical model of inorganic and organic nitrogen (N) flows in a dairy farming system was formulated based on ecological concepts, integrating processes of nutrient input, recycling, immobilization and mineralization. Recycling is defined as the mineralization of N within the year of its incorporation into herbage, which occurs through release from faeces, animal urine and non-harvested biomass. We simulated changes in inorganic and organic N per hectare, and the consequent emission (E), mineralization (M S) and recycling (R) of N for different initial amounts of inorganic and organic N. Results demonstrate that in the long term, the system evolves to equilibrium amounts of inorganic and organic N, which are strongly determined by the imposed management practices, such as fertilizer input and grassland management. In the short term, moving away from the equilibrium is possible for particular initial amounts of inorganic and organic N. In the equilibrium state, E was reduced by lowering inorganic fertilizer input rate, increasing grassland productivity and improving animal N conversion efficiency, i.e., only by production-related parameters. Only in the short term E was affected by adjustments in quality-related parameters: lower N content, lower digestibility of herbage, reduced degradability of non-harvested biomass and faeces, and parameters determining the functioning of soil biota (degradation rate, efficiency, C/N ratio). Quality-related parameters had no effect on internal nutrient cycling in the equilibrium state, because adjustments in MS were completely compensated by changes in R. A comparison of farming systems demonstrated that farming systems can be designed in such a way that improvement of internal nutrient cycling supports the same production with lower inputs and lower emissions.

HOW CRITICAL IS THE CRITICAL N:P RATIO?1

The value of cellular N:P that corresponds to co‐limitation by N and P, the critical (Rcrit) or optimum ratio, has been used to infer the competitive advantage of phytoplankton growing in P‐impoverished systems. Using a revised quota model, with a normalized quota function and capable of simulating surge transport, the interactions between the minimum P‐quota (PCo), the shape of the P‐quota–cell growth relationship (affected by constantKQP), and transport kinetics in affecting the utility ofRcritare considered. For a lowPCoto endow an organism with a highRcritover a wide range of growth rates, the P‐quota curve must be more hyperbolic (KQPlow) rather than linear (KQPhigh).PCoandKQPalso affect the half saturation constant for growth,KgP ; this and the capacity to transport nutrients at rates above those required to sustain steady‐state growth endows a competitive advantage. However, the kinetics of transport into the organism have a greater potential for affectingKgPthan changing the kinetics of internal P usage. Thus, the value ofRcritis not a critical factor affecting competition except in extreme oligotrophic conditions. For competition between species, nutrient transport, accumulation, and resource utilization are all important. However, the efficiency of internal resource utilization is of lesser importance, and certainly not of greater importance, than resource acquisition. Multinutrient models intended to describe competition need to recognize these interactions; the traditional quota model is poorly equipped to do so.

System and method for performing monitoring of resources in a data processing system in real time

A graphical system resource monitor is provided to depict, in real-time, a data processing system's internal resource utilization. A window or viewport of a data processing system displays user specified internal system resources, such as memory, CPU, or peripheral device availability/utilization. This graphical representation of the `state` of the data processing system's resources is maintained in real-time, while the impact on the system's performance in providing such information is kept to a minimum. This is accomplished through a combination of various techniques, including specialized device drivers for the respective devices coupled with a unique data reduction technique. The graphical results of these resource monitors are continually updated in real-time. This real-time support provides an immediate and accurate representation of the internal operations of the data processing system. Further, these resources can monitored at the process level of a multiprocessing system. These representations can be used by a user to identify, isolate, and fine-tune the data processing system's resources to improve the overall efficiency of the system being monitored.