scholarly journals Comparing System Optimum-based and User Decision-based Traffic Models in an Autonomous Transport System

2019 ◽  
Vol 31 (5) ◽  
pp. 581-591
Author(s):  
Gábor Pauer ◽  
Árpád Török
Keyword(s):  
Transport System ◽  
Demand Management ◽  
Management Strategies ◽  
Route Planning ◽  
Optimization Method ◽  
Point Of View ◽  
Reasonable Assumption ◽  
System Optimum ◽  
Second Procedure ◽  
Assigned Number

The paper introduces a framework to perform the demand management and route planning tasks of a highly developed transport system managing scheme, assuming an autonomous transport system. Two types of autonomous transport system managing models have been introduced. In case of the first model, the assigned number of trips is assumed to be the modified variable related to the optimization problem. In case of the second model, the decision process is directly influenced by the travel prices defined by the optimization method. These approaches represent different demand management strategies. The first model aims to directly assign the incoming user demands to the system, while the second procedure lets the users make the decision. However, in the second case the system can strongly influence the users’ choices through the values of the travel prices. Accordingly, it seems to be a reasonable assumption that the firstly presented model has significantly higher efficiency in distributing the load on the network. On the other hand, the method of the second model would be much more tolerable and acceptable from a social point of view. Therefore, the aim of the paper is to introduce the developed models and to compare their efficiencies.

scholarly journals GA-Based Optimization Method for Mobile Crane Repositioning Route Planning

2021 ◽  
Vol 11 (13) ◽  
pp. 6010
Author(s):  
Han-Seong Gwak ◽  
Hong-Chul Lee ◽  
Byoung-Yoon Choi ◽  
Yirong Mi
Keyword(s):  
Operating Time ◽  
Route Planning ◽  
Optimal Solution ◽  
Optimization Method ◽  
Computational Method ◽  
Test Cases ◽  
Construction Sites ◽  
Productivity Improvement ◽  
Planning Optimization ◽  
Mobile Crane

Mobile cranes have been used extensively as essential equipment at construction sites. The productivity improvement of the mobile crane affects the overall productivity of the construction project. Hence, various studies have been conducted regarding mobile crane operation planning. However, studies on solving RCP (the repositioning mobile crane problem) are insufficient. This article presents a mobile crane reposition route planning optimization method (RPOS) that minimizes the total operating time of mobile crane. It converts the construction site into a mathematical model, determines feasible locations of the mobile crane, and identifies near-global optimal solution (s) (i.e., the placement point sequences of mobile crane) by implementing genetic algorithm and dijkstra’s algorithm. The study is of value to practitioners because RPOS provides an easy-to-use computerized tool that reduces the lengthy computations relative to data processing and Genetic Algorithms (GAs). Test cases verify the validity of the computational method.

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

2020 ◽  
pp. 036119812096479
Author(s):  
Kristina M. Currans ◽  
Gabriella Abou-Zeid ◽  
Nicole Iroz-Elardo
Keyword(s):  
Travel Behavior ◽  
Travel Demand ◽  
Demand Management ◽  
Management Strategies ◽  
Land Development ◽  
Future Research ◽  
Alternative Mode ◽  
Travel Demand Management ◽  
Development Level ◽  
Automobile Demand

Although there exists a well-studied relationship between parking policies and automobile demand, conventional practices evaluating the transportation impacts of new land development tend to ignore this. In this paper, we: (a) explore literature linking parking policies and vehicle use (including vehicle trip generation, vehicle miles traveled [VMT], and trip length) through the lens of development-level evaluations (e.g., transportation impact analyses [TIA]); (b) develop a conceptual map linking development-level parking characteristics and vehicle use outcomes based on previously supported theory and frameworks; and (c) evaluate and discuss the conventional approach to identify the steps needed to operationalize this link, specifically for residential development. Our findings indicate a significant and noteworthy dearth of studies incorporating parking constraints into travel behavior studies—including, but not limited to: parking supply, costs or pricing, and travel demand management strategies such as the impacts of (un)bundled parking in housing costs. Disregarding parking in TIAs ignores a significant indicator in automobile use. Further, unconstrained parking may encourage increases in car ownership, vehicle trips, and VMT in areas with robust alternative-mode networks and accessibility, thus creating greater demand for vehicle travel than would otherwise occur. The conceptual map offers a means for operationalizing the links between: the built environment; socio-economic and demographic characteristics; fixed and variable travel costs; and vehicle use. Implications for practice and future research are explored.

Clinical Profile and Prediction of Response to Treatment in Childhood Epilepsy - A Single-Centre Experience from Eastern India

2021 ◽  
Vol 8 (15) ◽  
pp. 977-981
Author(s):  
Prakash Chandra Ghosh ◽  
Mitali Bera ◽  
Punyabrata Barma ◽  
Arijit Roy ◽  
Sananda Majumder ◽  
...  
Keyword(s):  
Management Strategies ◽  
Poor Response ◽  
Cost Effective ◽  
Point Of View ◽  
Clinical Profile ◽  
Response To Treatment ◽  
Childhood Epilepsy ◽  
Primary Health Centres ◽  
Single Centre Experience ◽  
Active Epilepsy

BACKGROUND Though epilepsy remains a significant problem for children and adolescents in our country, studies delineating the clinical profile and response to treatment in childhood epilepsy are lacking. The current study was carried out for obtaining a baseline profile and to predict the response to treatment in childhood epilepsy in India that may be helpful in planning management strategies from a public health point of view. METHODS Patients with clinical suggestion of active epilepsy (N = 141) from one month to 12 years, were enrolled into the study over a period of 1 year (February 2010 to January 2011) from the out-patient department and epilepsy clinic of Bangur Institute of Neurology. Detailed history was taken along with neurological examination. Electroencephalography (EEG) and neuroimaging (MRI / CT scan) were done on all patients. Each patient included in the study was kept in followup for a period of 6 months and their response to the treatment was recorded. RESULTS About 48.9 % (N = 69) patients had localisation related epilepsy while the rest had generalised epilepsy. Of those with generalised epilepsy, generalised tonicclonic seizures (GTCS) was by far the most common type. Of those with focal EEG activity, the highest proportion (50 %), were localised to the temporal lobe. Symptomatic aetiology accounted for 59.6 % (N = 84) of the patients. 20.6 % (N = 29) had poor response to treatment at 6 months follow-up. Abnormal neuroimaging (OR = 6.708) and abnormal EEG (OR = 6.357) were effective factors in predicting poor response to treatment. CONCLUSIONS Our study highlights the need to link specialised epilepsy services with primary health centres for early detection and treatment. EEG is an essential cost-effective modality in determining seizure localisation and response to treatment. KEYWORDS Paediatric, Epilepsy, Clinical Profile, Response to Treatment

scholarly journals A framework for the Saudi universities governance to achieve competitive advantage in decision making according to the aspirations of Vision 2030

2019 ◽  
Vol 3 (17) ◽  
Author(s):  
Reem Thabet Mohammad Bny Zeed Alqahtani
Keyword(s):  
Public Universities ◽  
Statistical Significance ◽  
Management Strategies ◽  
Point Of View ◽  
Department Heads ◽  
Years Of Experience ◽  
King Saud University ◽  
The Public ◽  
Vision 2030 ◽  
Department Directors

The study aimed at identifying the degree of applying the visual management strategies and the obstacles of applying them in the public universities in Riyadh region in light of the vision of the Kingdom in 2030. In addition, it aimed at identifying the statistical significance differences on the implementation of the visual management strategies from the point of view of department heads according to the variables of gender, Years of service). The researcher followed the descriptive approach. The study community is composed of all department directors at the public universities in Riyadh, specifically King Saud University, Princess Norah Bint Abdul Rahman University, and Saudi Electronic University. The sample of the study was limited to a randomly selected sample of 137 department heads in the public universities under study. The tool consisted of a two-pronged questionnaire, namely the degree of application of the visual management strategies. It includes three sub-axes (rules of operation, disinfection, and elimination of waste), the second axis: obstacles to the implementation of visual management strategies. The results of the study came out with a number of results, the most important of which were: After the implementation of the business rules strategy, a total average of (3.74 of 5) was achieved with a grade of (large), followed by the clearance strategy with an average of (3.61 of 5) (3.53). The results indicated that there were statistically significant differences between the respondents' responses to the implementation of the visual management strategies of the heads of departments In the universities in question are due to the variables (gender, female favor, In addition to the number of years of experience and for the benefit of their experience 5 years than less. In addition, there were statistically significant differences between the responses of the sample members on the obstacles of visual administration in the heads of departments at King Saud University, Princess Nora University, In the Riyadh region in view of the vision of the Kingdom in 2030 due to the gender variable. And for the benefit of males. There were no statistically significant differences between the responses of the sample members on the obstacles of visual administration in the heads of departments due to the variable (years of experience, qualification). In the light of the results, a set of recommendations and proposals were presented to activate the implementation of the visual management strategies in the public universities in Riyadh and other Saudi universities in light of the vision of the Kingdom in 2030.      

scholarly journals The effectiveness of talent management strategies in the development of human resources teaching from the point of view of the leaders and members of the faculty of Taibah University

2019 ◽  
Vol 3 (15) ◽  
Author(s):  
Badrya Abdullah Al-Skran
Keyword(s):  
Professional Development ◽  
Human Resources ◽  
Human Resource Development ◽  
Human Resource ◽  
Management Strategies ◽  
Resource Development ◽  
Talent Management ◽  
Point Of View ◽  
The University ◽  
Open Question

The study aimed to identify the effectiveness of talent management strategies in human resource development at the University of Taibah, And to develop the necessary scientific solutions and recommendations, which can contribute to enhancing the effectiveness of talent management strategies in human resource development. Using the descriptive approach, study sample consisted of 67 leader, the leader of the 95 representing the entire community of the original study, and88member of the faculty members out of 365. The study relied on questionnaire tool, included thirty-eight parts, distributed over four axes, polarization, the discovery, the professional development, and the retention. In addition to an open question. The study found a range of results, which are; The general grade of the effectiveness of talent management strategies in human resources development at the University of Taibah from the perspective of leaders and members of the faculty average, is a mean 3.13.The polarization strategy is the most effective in the talent management in the development of human resources at the University of Taibah, a mean 3.35. The second was professional development with an average (3.17) and third discovery with an average of (3.09) The retention strategy came to be the least strategy in the talent management effectiveness in human resource development at the University of Taibah, a mean 2.93.In light of the results , a number of recommendations and suggestions.

scholarly journals Formation of clusters in cultural heritage – strategies for optimizing resources in museums

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Héctor Moreno - Mendoza ◽  
Agustín Santana - Talavera ◽  
José Molina - González
Keyword(s):  
Cultural Heritage ◽  
Statistical Significance ◽  
Management Strategies ◽  
Cultural Development ◽  
Point Of View ◽  
Content Type ◽  
Homogeneous Groups ◽  
Heritage Sites ◽  
Tourism Product ◽  
New Ideas

PurposeThe purpose of this study is to affirm that it is possible to segment visitors of cultural heritage into homogeneous groups according to a series of characteristics to detect the variables that have statistical significance to identify visitor clusters.Design/methodology/approachFour case studies were selected, where a total of 500 questionnaires were made to visitors. The authors proceeded with cluster analysis using SPSS software to differentiate visitor segments. Four groups of visitors were first identified and which have subsequently been reduced to three, according to several factors.FindingsThe main contributions of this paper are: (1) the segment to which each one of the determinants of the cultural tourism product is dedicated; (2) the variable object of the analysis, i.e. the formation of visitor segments; and (3) the inclusion of less studied variables such as type of accommodation contracted, treatment offered in the museums or entrance price.Research limitations/implicationsThe analysis has been developed in different museums, with different management models, in a specific place. However, the results are generalizable to other places and to other institutions that manage cultural heritage. The implications are management strategies for a sustainable cultural development in institutions of tourism and heritage.Practical implicationsFrom a practical point of view, the results are useful for cultural managers, travel agencies, tour operators, tourism companies or political offices, among others, because they generate new ideas and strategies focused on maximizing the use of the resources of cultural institutions.Social implicationsFor both local and non-local agents, the knowledge of the factors that make up the groups of visitors in the heritage sites represents a strategy in aspects of marketing, promotion and distribution, thus generating capacities for the different intermediaries, and the possibility of negotiating lower prices with better benefits. It is also possible to create new products destined for other publics.Originality/valueThe study is original because this has not been published.

scholarly journals Management of Postharvest Diseases of Vegetables in a Tropical and Sub-tropical Environment of the Kingdom of Eswatini

2020 ◽  
pp. 1-13
Author(s):  
Diana M. Earnshaw ◽  
Michael T. Masarirambi ◽  
Bonginkhosi E. Dlamini ◽  
Kwanele A. Nxumalo
Keyword(s):  
Management Strategies ◽  
Pathogenic Fungi ◽  
Essential Amino Acids ◽  
Point Of View ◽  
Postharvest Diseases ◽  
Household Level ◽  
Post Harvest ◽  
Side Dish ◽  
Opportunistic Pathogenic ◽  
And Storage

Vegetables are important in human diets as a side dish eaten either cooked or raw as in salads. They are important for their nutritional contribution as major sources of minerals, vitamins, nine essential amino acids, beneficial phytochemicals, fibre and interesting colour from an aesthetic point of view. Despite the immerse health benefits offered by vegetables there are challenges encountered in their post-harvest handling and storage up to consumption. Challenges include post-harvest losses due to diseases. Some losses occur even at household level when vegetables are not stored appropriately when stored under the sink where humidity can be high leading to an environment which promotes diseases. Diseases in the post-harvest chain are caused by bacteria and opportunistic pathogenic fungi. Post-harvest losses of vegetables are not only a threat to nutritional security but a threat to food security as well. The aim of this research study was to document major post-harvest diseases of vegetables found in the Kingdom of Eswatini and to suggest appropriate management strategies or ways of alleviating them.

Fish Stock Indicators as Measure for Sustainability

2015 ◽  
pp. 118-182 ◽  
Author(s):  
Violin S. Raykov ◽  
Ivelina Zlateva
Keyword(s):  
Black Sea ◽  
Fishery Management ◽  
Management Strategies ◽  
Age Determination ◽  
Reproductive Potential ◽  
Local Environment ◽  
Point Of View ◽  
The Black Sea ◽  
Fish Stock ◽  
Mortality Estimation

Particular species may be good indicators of specific environmental factors in their local environment. It was found that one of the main objectives for effective and sustainable management of the fish stocks is to make regular annual assessment of the parental stock biomass, length and weight growth, age determination, mortality estimation and reproductive potential estimation. The Black Sea sprat (Sprattus sprattus L.) is a key species in the Black Sea ecosystem. Small pelagic forage fish and especially local one with shared stocks are very important from ecological (key trophic level) and commercial (intensively exploited) point of view. Fishery management strategies must ensure that fishing mortality will not exceed that which corresponds to MSY, and that the biomass will not fall below a predefined threshold. The goal of the chapter is to define the main objectives and measures for sustainable sprat exploitation in order to be in favour of decision makers and fishery managers.

scholarly journals Multi-Label Learning for Appliance Recognition in NILM Using Fryze-Current Decomposition and Convolutional Neural Network

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4154 ◽  
Author(s):  
Anthony Faustine ◽  
Lucas Pereira
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Energy Demand ◽  
Learning Strategy ◽  
Demand Management ◽  
Management Strategies ◽  
Electricity Consumption ◽  
Consumption Pattern ◽  
Similarity Function ◽  
Active Components

The advance in energy-sensing and smart-meter technologies have motivated the use of a Non-Intrusive Load Monitoring (NILM), a data-driven technique that recognizes active end-use appliances by analyzing the data streams coming from these devices. NILM offers an electricity consumption pattern of individual loads at consumer premises, which is crucial in the design of energy efficiency and energy demand management strategies in buildings. Appliance classification, also known as load identification is an essential sub-task for identifying the type and status of an unknown load from appliance features extracted from the aggregate power signal. Most of the existing work for appliance recognition in NILM uses a single-label learning strategy which, assumes only one appliance is active at a time. This assumption ignores the fact that multiple devices can be active simultaneously and requires a perfect event detector to recognize the appliance. In this paper proposes the Convolutional Neural Network (CNN)-based multi-label learning approach, which links multiple loads to an observed aggregate current signal. Our approach applies the Fryze power theory to decompose the current features into active and non-active components and use the Euclidean distance similarity function to transform the decomposed current into an image-like representation which, is used as input to the CNN. Experimental results suggest that the proposed approach is sufficient for recognizing multiple appliances from aggregated measurements.

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