Given a set I = {i | i = 1, 2, . . . , n} of current n items (for example, n green peppers) withtheir weights w i and priorities r i , a lexicographic bi-criteria combinatorial food packing problem asks to find a su...
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Given a set I = {i | i = 1, 2, . . . , n} of current n items (for example, n green peppers) withtheir weights w i and priorities r i , a lexicographic bi-criteria combinatorial food packing problem asks to find a subset I' (⊆ I) so that the total weight Σ i∈I' w i is no less than a specified target bound b for each package, and it is minimized as the primary objective, and further the total priority Σ i∈I' r i is maximized as the second objective. the problem has been known to be NP-hard, while it can be solved exactly in O(nb) time if all the input data are assumed to be integral. For a given real ε > 0, an O(n 2 /ε) time heuristic algorithm with a data rounding technique has been designed and the heuristic total weight has been shown to be at most (2+ε) times the optimal total weight. In this paper, a modification of the data rounding heuristic is proposed, and it is shown that the proposed modification delivers a heuristic solution such that the total weight is at most (1 + ε) times the optimum.
Previous researches suggested that user resistance is one of the major problems facing Information Technology project effectiveness in developing countries. this user resistance is based partially on the non alignment...
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Previous researches suggested that user resistance is one of the major problems facing Information Technology project effectiveness in developing countries. this user resistance is based partially on the non alignment of the new designed IT project withthe organization cultural and social factors characterizing the internal environment of organization in developing countries. On the other hand, technical anomalies are also considered to be effectiveness barriers and direct causes of user resistance. the purpose of our research is to provide technical solutions to reduce the user resistance and raising the effectiveness of the IT through the using of Webservices technology.
this study aims to use alternative data on measuring bank branch performance within the NCR in the Philippines. It is also aimed to identify optimal solution in maximizing the bank branches performance as a community ...
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ISBN:
(数字)9781728167855
ISBN:
(纸本)9781728167862
this study aims to use alternative data on measuring bank branch performance within the NCR in the Philippines. It is also aimed to identify optimal solution in maximizing the bank branches performance as a community while minimizing the operating expense using goal programming approach. It was concluded that bank branch performance in NCR is largely dependent on the number of accounts and number of over-the-counter transactions. the result of this study is very timely as the banks in the country have already started charging its clients for over-the-counter transactions, such as withdrawals and inter-regional deposits. Since the number of over-the-counter transactions has a positive effect on branch performance, the management should think of ways on how it can entice its clients on transacting in the branch instead of using the digital platforms.
Machine learning has opened up the opportunity for understanding how the brain works. In this paper, functional magnetic resonance imaging (fMRI) data are analyzed with reduced dimension. We have carried out a perform...
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ISBN:
(纸本)9781728129723
Machine learning has opened up the opportunity for understanding how the brain works. In this paper, functional magnetic resonance imaging (fMRI) data are analyzed with reduced dimension. We have carried out a performance comparison of random projection (RP) and principal component analysis (PCA) with different number of components of fMRI data. In addition to that, six different types of machine learning algorithm have been used. In particular, the Haxby dataset is chosen for our experiment. the dataset comprises 9 classes for object recognition. 10-fold cross validation step has been employed. We have discovered that RP outperforms PCA when the former is paired with logistic regression, Gaussian Naive Bayes and linear support vector machine. the best pair for this study was found to be PCA and k-nearest neighbors. Nevertheless, each algorithm was found to have its own strengths for fMRI classification approach.
Aiming at the Soil and Water Conservation Measures Optimization Scheme Problem, when the number of governing regions is large, the memory consumption of the Dynamic programming Algorithm becomes excessively high, maki...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
Aiming at the Soil and Water Conservation Measures Optimization Scheme Problem, when the number of governing regions is large, the memory consumption of the Dynamic programming Algorithm becomes excessively high, making it unsuitable as a solution algorithm. In order to solve the large-scale Soil and Water Conservation Measures Optimization Scheme Problem, an improved Binary Lion Swarm Optimization Algorithm is proposed by introducing a restriction mechanism. Secondly, a simulated experiment using real land data from Jiangjin District in Chongqing City shows that the improved Binary Lion Swarm Optimization Algorithm can reduce memory consumption by a hundredfold compared withthe dynamic programming algorithm. the average solution of the algorithm can reach 99.59% of the optimal solution, and there is a certain probability that the optimal solution can be obtained. It can assist scientific researchers in soil and water conservation in choosing the appropriate measures for soil erosion regions.
the Faculty of Science, Sriracha Campus is in the Eastern Economic Corridor (EEC) to recognize the importance of the development of Industry4.0, therefore it has been developed a control and data analysis program base...
the Faculty of Science, Sriracha Campus is in the Eastern Economic Corridor (EEC) to recognize the importance of the development of Industry4.0, therefore it has been developed a control and data analysis program based on a controlled automatic sorting simulation system to disseminate the technology of PLC and data analysis to develop into a smart factory. By developing personnel to have knowledge and developing the capabilities of machines for Industry4.0. Automated machines for smart factories, such as production systems, can be adjusted according to the situation by responding in real time. Moreover, by creating intelligent machines, trackers and forecasters can analyze production data by receiving information from machines to prevent errors from occurring. Being able to develop a machine status monitoring program can help extend the working life of machines. therefore, developing a training set to program and study data analysis in factory machinery. It is important to develop technological knowledge and understanding in developing smart factory systems such as automatic control. Machine maintenance through data analysis from various sensors using production data to analyze production rates or detecting work controls through sensors that have complex functions from various research developments through studies on this simulation set in the future.
Southeast Asia’s lease developed countries’ poor infrastructure prevents the use of enterprise resource planning (ERP) systems. this study emphasis on several technology issues faced by Myanmar small and medium ente...
Southeast Asia’s lease developed countries’ poor infrastructure prevents the use of enterprise resource planning (ERP) systems. this study emphasis on several technology issues faced by Myanmar small and medium enterprise (SME) which prevent implementation of ERP system. A modernized cloud-based SaaS version of ERP can bring a lot of benefits to organizations by data integration and best practices. A lot of white paper, publications and textbooks are used as secondary sources of information in this article. Two corporate interviews are conducted to gather primary information in this article to know why Myanmar SMEs discontinue or do not implement ERP. this study found out the technology issues are poor user interface design, difficulties in integrating ERP with existing systems, managers’ lack of other functional knowledge, lack of proper training and poor support in decision making and/or supply chain management etc. this article investigates these difficulties mainly contribute the real inefficiencies and ineffectiveness for the those who uses ERP and who supplies ERP. Predictions had also been made about these issues would still be continued if the LDCs’ infrastructures are not upgraded and if the countries’ culture and organizations’ change management cannot support ERP implementations.
ChatGPT queries were used to provide feedback on five C++ programs selected from various programming assignments for two graduate-level computer science courses – a scientific programming course and an algorithms cou...
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ISBN:
(数字)9798350385625
ISBN:
(纸本)9798350385632
ChatGPT queries were used to provide feedback on five C++ programs selected from various programming assignments for two graduate-level computer science courses – a scientific programming course and an algorithms course. the evaluated software was written by the first author for those courses within the last two years. ChatGPT was asked to evaluate and provide feedback for each program. Specifically, ChatGPT was asked to evaluate the code for strengths and weaknesses and make recommendations for improving (1) execution speed as well as (2) readability and maintainability. A subjective agreement rating was generated by the authors for each strength, weakness, and recommended change provided by ChatGPT. While the overall agreement withthe ChatGPT provided feedback was over 90 percent, at times, ChatGPT’s recommendations were found misleading.
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dyna...
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ISBN:
(数字)9781728159539
ISBN:
(纸本)9781728159546
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dynamic programming controller is developed to minimize the electricity costs. It is shown in simulation, using real world measurement data, that considerable savings can be achieved withthe optimal controller. However, we also show the limitations of such discrete time approaches in realistic scenarios when load and generation changes in-between the samples where the controller is active. this can lead to a performance deterioration making the optimal controller worse than a standard approach.
the transformation from the industrial-based economy to knowledge based economy due to the rapid technological development over the late 20 th Century has not only changed our lifestyles, but also our thinking. In ed...
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the transformation from the industrial-based economy to knowledge based economy due to the rapid technological development over the late 20 th Century has not only changed our lifestyles, but also our thinking. In education, we are witnessing the shift from teacher- centred education to student-centred education. In industry, we are experiencing the change to a higher demand in employee requirements. the modern engineers are expected to have not only the specialized knowledge, but also other technical knowledge as well as personal skills such as teamwork and leadership. However, it remained a big doubt as to how far has our university curriculum cope withthis rapid change in our society to produce engineers that meet this requirement. Most courses in an university undergraduate curriculum were still designed based on training students in a specific, and often specialized, skill or knowledge. Training students to integrate these individual skills is not often available. In the last two years, the author introduced project on embedded system to his students in one of the courses taught. the success of the student project requires the appropriate application of skills and knowledge that the students learned from other units in the previous years of their undergraduate engineering program. through this project, students had an opportunity to develop multi engineering skills and personal skills in a single course.
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