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The calculus relations of the cutting forces and moments for drilling of the steel x2crnimo18-14-3

Academic Journal of Manufacturing engineering 2011年第1期9卷 12-17页

作者： Blajina, Ovidiu Vlase, Aurelian Vlase, Bogdan University POLITEHNICA of Bucharest Faculty for Engineering and Management of Technological Systems Production Engineering Department 313 Splaiul Independentei RO-060032 Bucharest Romania

This paper presents a series of experimentally establish data at drilling of the stainless steel X2CrNiMo18-14-3 and the means for the determination of the axial cutting force and cutting moment with respect to the specific working conditions. The experimental data and their following processing represent the original contribution of the authors to determination of the calculus relations of the axial cutting force and the cutting moment for drilling of the studied steel. These were modified with respect to the relations available in the technical literature for common steels. The obtained results can be taken into consideration in the educational studies and in the theoretical technical research. Also they can be implemented in the manufacturing activity.

关键词： Stainless steel

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NKSS: a network-based knowledge system shell

NKSS: a network-based knowledge system shell

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IEEE International Conference on systems, Man and Cybernetics

作者： Boon Toh Low Department of Systems Engineering and Engineering Management Chinese University of Hong Kong New Territories Hong Kong China

ISBN: (纸本)0780347781

This paper presents an inference network-based system for representing knowledge and performing reasoning called NKSS. In this system, all propositional concepts are represented as nodes while the relations are represented as directed links. NKSS is a four-valued system. Each proposition is either believed, its negation is believed, unknown, or in the state of contradiction. Logical relations such as AND, OR and NOT as well as other relations such as IF-THEN rules can be expressed in NKSS. There is a set of network update operators for adding, removing, updating and revising knowledge (beliefs). Due to the nature of network computation, it has an extreme level of tolerance to contradictory input knowledge. The resulting belief state is always clear and unique.

关键词： Knowledge based systems Computer networks Logic Knowledge engineering systems engineering and theory Research and development management Cognitive robotics Robotics and automation Problem-solving Humans

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Hot item mining and summarization from multiple auction Web sites

Hot item mining and summarization from multiple auction Web ...

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IEEE International Conference on Data Mining (ICDM)

作者： Tak-Lam Wong Wai Lam Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Sha Tin Hong Kong China

Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for bidding. We develop a two-phase framework which aims at mining and summarizing hot items from multiple auction Web sites to assist decision making. The objective of the first phase is to automatically extract the product features and product feature values of the items from the descriptions provided by the sellers. We design a HMM-based learning method to train an extended HMM model which can adapt to the unseen Web page from which the information is extracted. The goal of the second phase is to discover and summarize the hot items based on the extracted information. We formulate the hot item mining task as a semi-supervised learning problem and employ the graph mincuts algorithm to accomplish this task. The summary of the hot items is then generated by considering the frequency and the position of the product features being mentioned in the descriptions. We have conducted extensive experiments from several real-world auction Web sites to demonstrate the effectiveness of our framework.

关键词： Hidden Markov models Data mining Feature extraction systems engineering and theory Research and development management Potential well Decision making Learning systems Web pages Semisupervised learning

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An investigation into the impact of applying systems engineering life-cycle processes during new product development and the economic growth of the diversified industrial sector

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Journal of Enterprise Transformation 2018年第1-2期8卷 98-120页

作者： Dale Ashby Paul Blessner Bill Olson Engineered Materials Group Parker Hannifin Corporation Cleveland OH USA Department of Engineering Management and Systems Engineering The School of Engineering and Applied Science George Washington University Newport News VA

systems engineering rigor has been used successfully in the aerospace and defense industries where the development cycles tend to be rather long. However, the practice of using a traditional waterfall, spiral or V-model systems engineering life-cycle framework, in other industries brings into question their appropriateness when considering the relative speed of new product development in industrial manufacturing. The purpose of this research is to investigate the applicability of incorporating systems engineering principles in the industrial sector to determine whether there is a statistical association with the overall growth of diversified industrial firms. This research focuses on investigating three systems engineering life-cycle approaches: incremental&iterative methods, lean enablers for systems engineering and agile systems engineering, using a semistructured interviewing approach with subject matter experts from the Fortune 500 diversified industrial sector. The research reveals that there are weak statistical associations between the use of the incremental&iterative and lean systems engineering life-cycle approaches when considering the financial growth of the diversified industrial sector. However, the research reveals that there is a strong statistical association between the financial growth of companies in the diversified industrial sector and the use of the agile systems engineering life-cycle approach.

关键词： systems engineering growth frameworks agile incremental & iterative lean enablers industrial manufacturing

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Efficient Reliable Multicast MAC Protocol for IEEE 802.11 Wireless LANs

Efficient Reliable Multicast MAC Protocol for IEEE 802.11 Wi...

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International Conference on Advanced Communication Technology (ICACT)

作者： Woo-Yong Choi Department of Industrial and Management Systems Engineering Dong-A University Busan South Korea

In this paper, we want to propose a new reliable multicast MAC protocol based on the PCF (point coordination function) MAC protocol for minimizing the RAK frame transmissions and enhancing the efficiency of the radio bandwidth. Enhancing the BMMM protocol, the proposed MAC protocol reduces the RAK frame transmissions necessary to request the ACK frame transmissions from the recipients by employing the connectivity information among the recipients involved in the multicast frame transmissions of the AP.

关键词： Multicast protocols Media Access Protocol Wireless application protocol Wireless LAN Unicast Access protocols Delay Radio transmitters Internet telephony Radio spectrum management

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System architecture for cross border payment: a case study for the financial services industry

System architecture for cross border payment: a case study f...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： N. Ayad A. Verbraeck Department of Systems Engineering Policy and Management Delft University of Technnology Delft Netherlands

The financial services industry is changing rapidly as a result of advances in information technology (IT), telecommunications and the Internet. Technological innovations and increasing customer demand have led to the emergence of new services and new organizational forms for financial services firms. Willingly or unwillingly, banks are being forced to move toward worldwide operation. This enables them to offer services and credit facilities on a global scale, tailored to customers regardless of where they are based. However, variations among national markets present obstacles as well as opportunities to companies attempting to "go global." This paper describes specific problems and solutions for the globalization of banking services, and a case study carried out on payment services for an international bank to develop system architecture for cross border payment. The proposed architecture aims to keep apart of the processes local, but transfers the core of the transaction operations to a centralized system with clear services and clear interfaces. The bi-directional translation of formats makes standardized processing possible, while output for the specific contexts can be provided in the original formats. An important property of the architecture is that the rich context has been integrated into the handling of transactions.

关键词： Computer aided software engineering Globalization Banking Communication industry Standardization systems engineering and theory Financial management Technology management engineering management Electronic mail

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JOINT DETERMINATION OF S ALESFORCE INCENTIVES AND INVENTORY CONTROL WITH DEMAND UNCERTAINTY

JOINT DETERMINATION OF S ALESFORCE INCENTIVES AND INVENTORY ...

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The 11th Annual Conference of Asia Pacific Decision Sciences Institute

作者： Frank Y.Chen Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin New Territories Hong Kong

This paper seeks incentive plans to salesforce by considering their impacts on a firm's inventory decision. The incentives to salesforce affect how much effort sales people exert, which in turn determines the demand pattern and ultimately the firm's inventory replenishment policy. In particular, we analyze a standard single item, periodic review system in which incentive plans and inventory decisions are made simultaneously to maximize the long-run average profit. Allowing a general sales incentives-demand relationship and a lump-sum expenditure for executing the incentive plans, the expected one-period gross profit, as a function of inventory level, fails to be unimodal in general. We develop an efficient computational procedure for obtaining an optimal (s,S,z) policy: whenever the inventory level falls to or below s, an order is placed to bring it up to S, and when x > s, no order is issued;the choice of incentives to salesforce depends on the inventory level. Further, we explore the conditions under which (s,S,z) policy is globally optimal.

关键词： salesforce incentives inventory control uncertain demand.

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Early-tardy scheduling under fuzzy due dates using a genetic algorithm

Early-tardy scheduling under fuzzy due dates using a genetic...

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Congress on Evolutionary Computation

作者： S.S. Lam X. Cai Department of Systems Engineering and Engineering Management Chinese University of Hong Kong New Territories Hong Kong China

We consider the problem of scheduling n jobs on a single machine. Each job i has a processing time p/sub i/, a weight w/sub i/, and a due date D/sub i/, which is a fuzzy number with a triangular membership function. The problem is to determine: (i) a job sequence, and (ii) a set of idle times each before one job, so as to minimize the total weighted earliness and tardiness cost under the fuzzy due dates. We first introduce a fuzzy distance function to measure the deviation of the completion time of a job from its fuzzy due date. We show that, given a job sequence, the problem of determining the optimal idle times is a continuous and convex optimization problem with a differentiable objective function, although the objective function after applying the fuzzy distance measure becomes nonlinear. We devise a genetic algorithm (GA) to tackle the problem, using a pigeon-hole coding scheme to represent a sequence and a nonlinear optimizer to determine the idle times. We evaluate the solutions obtained by such a GA as compared to the solutions obtained by treating the due dates as crispy numbers equal to the mean values of its fuzzy partners.

关键词： Genetic algorithms Optimal scheduling Single machine scheduling systems engineering and theory Research and development management Fuzzy sets Time measurement Job production systems Cost function Dynamic programming

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An Intelligent and Cost-Effective IoT-Based Irrigation System Using Machine Learning 2

An Intelligent and Cost-Effective IoT-Based Irrigation Syste...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Kadiyala, Sreedevi Potluri, Chandra Srinivas Birke, Ali Hussen Mehra, Aashish Rajput, Sneha Padmavathi, Katakam Guru Nanak Institutions Technical Campus Department of Computer Science and Engineering Hyderabad India Werabe University Department of Information Technology Werabe Ethiopia Werabe University Department of Information Systems Werabe Ethiopia School of Retail Management Symbiosis University of Applied Sciences Indore India Prestige Institute of Management and Research Gwalior India Stanley College of Engineering and Technology for Women Department of Electronics and Communication Hyderabad India

ISBN: (纸本)9798350371055

This work presents and implements a low-cost irrigation system for smart agriculture that is based on the Internet of Things (IoT). In order to continuously monitor environmental data in real time, the system is equipped with a network of sensors, including pressure, temperature, moisture, and water level sensors. In order to anticipate when irrigation pumps will switch on, machine learning techniques including Artificial Neural Networks (ANN), Decision Trees (DT), Naive Bayes (NB), and Support Vector Machines (SVM) are linked depending on established parameters. The study shows that the ANN model can identify complicated patterns in the agricultural environment with an accuracy of up to 98.33%. Farmers are able to make well-informed decisions quickly thanks to the cloud connectivity and intuitive interface of remote monitoring and control. Because predictive modeling minimizes pump activation delays, it lessens the chance of both over- and under-irrigation. The suggested strategy makes the most use of available water and provides opportunities for precision farming, which is a major step forward for sustainable agriculture. The study's findings demonstrate how well the system uses resources and open the door for the future creation of innovative, scalable agricultural technology. © 2024 IEEE.

关键词： Agriculture IoT Machine Learning Precision Farming Water management

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An agent-based fuzzy-neural approach for precise energy consumption forecasting

An agent-based fuzzy-neural approach for precise energy cons...

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IEEE Online Conference on Green Communications (GreenCom)

作者： Toly Chen Yu-Cheng Wang Department of Industrial Engineering and Systems Management Feng Chia University Taichung Taiwan

Precise energy consumption forecasting is of major importance to define the future energy consumption of a given region. However, it is not easy to contend with the uncertainty of the long-term energy consumption. In order to effectively forecast the long-term energy consumption, an agent-based fuzzy-neural approach is proposed in this study. In the proposed methodology, a group of agents is formed. These agents configure their own fuzzy neural networks to forecast the long-term energy consumption based on the settings. A collaboration mechanism governed by the centralized efficient P2P communication is therefore established. To facilitate the collaboration process and to derive a single representative value from these forecasts, the fuzzy group learning tree technique is used. The agent-based fuzzy-neural approach takes into account the different points of view in a more efficient way, and therefore the results obtained are more comprehensive and more in-depth. The effectiveness of the proposed methodology is illustrated with a case study.

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