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Development Model for Knowledge Management System (KMS) to Improve University's Performance (Case Studies in Indonesia University of Education)

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International Journal of computer science Issues 2012年第1 1-1期9卷 1-6页

作者： Munir Rohendi, Dedi Study Program of Computer Science Faculty of Mathematics and Sciences Education Indonesia University of Education Bandung Indonesia Mechanical Engineering Education Department Faculty of Technology and Vocational Education Indonesia University of Education Bandung Indonesia

Knowledge Management System (KMS) is one way to organize and documented the knowledge of institution. The purpose of this study is to develop a prototype KMS in organizing and documenting the knowledge in the university and to do a document aggregation based on the total number, subjects and writers (lecturers). The development method of KMS prototype is using sharepoints which are able to collect, store and publish all digital data available at the university which can be accessed online. Aggregation is using the percentage between the number of documents, subjects, and writers (lecturers). The aggregation's result between the number of digital files compared to the number of courses and the number of lecturers are each below 10%. In the future, the university still needs to encourage all lecturers or academic community to increase the collection of digital files that can indirectly improve the quality and educational services. © 2012 International Journal of computer science Issues.

关键词： Knowledge based systems

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Outage analysis of opportunistic decode-and-forward relaying

Outage analysis of opportunistic decode-and-forward relaying

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Kamel Tourki Hong-Chuan Yang Mohamed-Slim Alouini ECEN Program Texas A and M University Qatar Doha Qatar Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada King Abdullah University for Science and Technology Thuwal Makkah Saudi Arabia

In this paper, we investigate a dual-hop opportunistic decode-and-forward relaying scheme where the source may or not be able to communicate directly with the destination. We first derive statistics based on exact probability density function (PDF) of each hop. Then, the PDFs are used to determine closed-form outage probability expression for a transmission rate R. Furthermore, we evaluate the asymptotic outage performance and the diversity order is deduced. Unlike existing works where the analysis focused on high signal-to-noise ratio (SNR) regime, such results are important to enable the designers to take decisions regarding practical systems that operate at low SNR regime. We show that performance simulation results coincide with our analytical results under practical assumption of unbalanced hops.

关键词： Relays Signal to noise ratio Probability density function Protocols Fading Wireless communication Probability

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Photovoltaic Microinverter with Hybrid Energy Storage System (HESS) and Virtual Impedance Control for Injection into a Microgrid

Photovoltaic Microinverter with Hybrid Energy Storage System...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Patricio Gaisse Javier Muñoz Marco Rivera Carlos Restrepo Galina Mirzaeva Engineering Systems Doctoral Program Faculty of Engineering University of Talca Curicó Chile Department of Electrical Engineering Faculty of Engineering Universidad de Talca Curicó Chile Doctorate in Engineering Systems Faculty of Engineering Universidad de Talca Curicó Chile School of Electrical Engineering and Computer Science The University of Newcastle Callaghan NSW Australia

In this work, a photovoltaic (PV) microinverter is developed, which includes an hybrid energy storage system based on a battery and an ultracapacitor that are connected in parallel to the dc-link through two buck-boost bidirectional converters. The PV panel is connected in parallel to dc-link through an unidirectional boost converter. For the dc-ac stage, a two-stage Flyback / H-bridge inverter will be considered, which will be used to inject the available power into a microgrid. The study proposes the necessary control strategies to manage the power flow according to generation and injection conditions, where a virtual impedance loop is incorporated in the control of the energy storage elements. The presented results confirm the suitability of the proposed strategy.

关键词： Photovoltaic systems Microgrids Hybrid power systems Batteries Circuit stability Topology Impedance

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Preliminary Study on the Transition of Bio-emotion using Aroma Stimuli

Preliminary Study on the Transition of Bio-emotion using Aro...

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International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Chen Feng Peeraya Sripian Tipporn Laohakangvalvit Toshiaki Tazawa Saaya Sakai Midori Sugaya Department of Computer Science and Engineering Shibaura Institute of Technology Tokyo Japan Innovative Global Program Shibaura Institute of Technology Tokyo Japan Research & Development Division S.T.CORPORATION Tokyo Japan

Kansei engineering has a wide range of applications in design and industry. By considering factors related to Kansei and applying them to the product development and design process, user experience can be improved. To evaluate Kansei quantitatively, researchers used questionnaires such as self-assessment manikin (SAM) in the past years. Recently, researchers have measured physiological signals associated with a person's emotional state, such as electroencephalography (EEG) and heart rate variability (HRV), to evaluate Kansei more objectively. Furthermore, previous studies have proposed a method to estimate emotions using EEG and HRV. They combined these two signals to estimate emotions based on a psychological model, Russell's circumplex model. In order to distinguish inferred emotions based on physiological signals from cognitive emotions, they named their method the bio-emotion estimation method. However, the accuracy of bio-emotion estimation method has not been fully validated. Meanwhile, the traditional SAM questionnaire can obtain users' cognitive emotions with arousal and valence value. The arousal and valence also correspond to the two factors of the bio-emotion estimation method. Therefore, we conducted a SAM questionnaire to verify the accuracy of the bio-emotion estimation method. The results showed that the measured EEG indexes were highly consistent with human arousal perception. Then, we applied the bio-emotion estimation method to present the emotional transitions induced by the stimuli.

关键词： Visualization Biological system modeling Estimation Psychology Brain modeling Electroencephalography Physiology

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The study of using big data analysis to detecting APT attack

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Journal of computers (Taiwan) 2019年第1期30卷 206-222页

作者： Liu, Chung-Hsin Chen, Wei-Hung Department of Information Engineering and Computer Science Chinese Culture University Taipei111 Taiwan Graduate Institute of R and D Master Program in Information Security Industry Chinese Culture University Taipei106 Taiwan

An advanced persistent threat (APT) is a deliberately slow-moving cyberattack that is applied to quietly compromise interconnected information systems without revealing itself. APTs often use a variety of attack methods to get unauthorized system access initially and then gradually spread throughout the network. In contrast to traditional attacks, they are not used to interrupt services but primarily to steal intellectual property, sensitive internal business and legal documents and other data. Once an attack is successful, then the system timely detection is of paramount importance to mitigate its impact and will prohibit APTs from further spreading. For the early detection APT threat, this study proposes a detection mechanism, using Big Data and Splunk analysis, then using data mining techniques to find malicious IP position. Through the experimental results, decision tree algorithm is used as the best prediction model, and in the predictive model, the detection rate increased to 99%. Finally, this study established an alert system, can achieve real-time threat detection APT effect. 2019 © computer Society of the Republic of China. All Rights Reserved.

关键词： Big data

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Enhancing Precision Agriculture Through Human-in-the-Loop Planning and Control

Enhancing Precision Agriculture Through Human-in-the-Loop Pl...

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IEEE International Conference on Automation science and engineering (CASE)

作者： Shankar A. Deka Sujet Phodapol Andreu Matoses Gimenez Victor Nan Fernandez-Ayala Rufus Wong Pian Yu Xiao Tan Dimos V. Dimarogonas Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Division of Decision and Control Systems School of EECS Royal Institute of Technology (KTH) Stockholm Sweden Department of Cognitive Robotics Faculty of Mechanical Engineering TU Delft Delft Netherlands Department of Computer Science University of Oxford Oxford UK

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

In this paper, we introduce a ROS based framework designed for the planning and control of robotic systems within the context of precision agriculture, with an emphasis on human-in-the-loop capabilities. Utilizing Linear Temporal Logic to articulate complex task specifications, our algorithm creates high-level robotic plans that are not only correct by design but also adaptable in real time by human operators. This dual-focus approach ensures that while humans have the flexibility to modify the high-level plan on-the-fly or even take over low-level control of the robots, the system inherently safeguards against any human actions that could potentially breach the predefined task specifications. We demonstrate our algorithm within the dynamic and challenging environment of a real vineyard, where the collaboration between human workers and robots is critical for tasks such as harvesting and pruning, and show the practical applicability and robustness of our software. This work marks a pioneering application of formal methods to complex, real-world agricultural environments.

关键词： Precision agriculture Heuristic algorithms Software algorithms Robustness Human in the loop Software Real-time systems Planning Robots Multi-agent systems

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DNA-Directed Self-Assembly of Microscopic 1-D Carbon Nanotube Wire

DNA-Directed Self-Assembly of Microscopic 1-D Carbon Nanotub...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Jin-Woo Kim Nalinikanth Kotagiri Russell Deaton Steve Tung Cell and Molecular Biology Graduate Program University of Arkansas Fayetteville AR USA IEEE Senior Member Cell and Molecular Biology Graduate Program University of Arkansas Fayetteville AR 72701 USA. Department of Computer Science and Computer Engineering University of Arkansas Fayetteville AR 72701 USA. Department of Mechanical Engineering University of Arkansas Fayetteville AR USA

Molecular wire construction using DNA-directed self-assembly of multi-walled carbon nanotubes (MWNTs) has been attempted. MWNTs were selected owing to their exceptional electrical and structural properties. DNA, which possesses specific molecular recognition properties, served as the engine for the assembly. Non-crosshybridizing (NCH) sequences were designed to impart specificity and high throughput reaction. Stepwise manufacturing of the wire was accomplished by first functionalizing the NCH 20 base pair single-stranded sequences to the tips of MWNT using amide linkage. The adducts were then utilized to self-assemble 1D nanotube wire through DNA hybridization reactions between two complementary ssDNAs functionalized to the MWNT tips. TEM, epi-fluorescent microscopy and AFM analyses showed successful assemblies of micrometer-scale 1D MWNT-DNA wires, ranging from 2.7-20 mum. The results demonstrate great potentials of the DNA-guided self-assembly process, which would provide an uncomplicated, versatile and inexpensive way to manufacture micrometer-scale molecular wires.

关键词： Self-assembly Carbon nanotubes Wire Atomic force microscopy Transmission electron microscopy DNA Assembly Sequences Engines Throughput

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Accurate word representations with universal visual guidance

arXiv

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arXiv 2020年

作者： Zhang, Zhuosheng Yu, Haojie Zhao, Hai Wang, Rui Utiyama, Masao Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China

Word representation is a fundamental component in neural language understanding models. Recently, pre-trained language models (PrLMs) offer a new performant method of contextualized word representations by leveraging the sequence-level context for modeling. Although the PrLMs generally give more accurate contextualized word representations than non-contextualized models do, they are still subject to a sequence of text contexts without diverse hints for word representation from multimodality. This paper thus proposes a visual representation method to explicitly enhance conventional word embedding with multiple-aspect senses from visual guidance. In detail, we build a small-scale word-image dictionary from a multimodal seed dataset where each word corresponds to diverse related images. The texts and paired images are encoded in parallel, followed by an attention layer to integrate the multimodal representations. We show that the method substantially improves the accuracy of disambiguation. Experiments on 12 natural language understanding and machine translation tasks further verify the effectiveness and the generalization capability of the proposed approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Modeling languages

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Towards a Brain computer Interface Based on the N2pc Event-Related Potential

Towards a Brain Computer Interface Based on the N2pc Event-R...

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International IEEE/EMBS Conference on Neural engineering

作者： Hani Awni James J. S. Norton Stephen Umunna Kara D. Federmeier Timothy Bretl Computer Science Department University of Illinois at Urbana-Champaign Neuroscience Program University of Illinois at Urbana-Champaign Psychology Department University of Illinois at Urbana-Champaign Department of Aerospace Engineering University of Illinois at Urbana-Champaign

ISBN: (纸本)9781467319676

Research over the last decade has shown that brain-computer interfaces (BCI) based on electroencephalography (EEG) can provide an alternative input paradigm for both clinical and healthy populations. Currently, the majority of BCI paradigms rely on a limited number of brain potentials;thus there remain many EEG signals to be explored for BCI applications. One such signal is the N2pc event-related potential (ERP). The N2pc is an ERP elicited 150ms to 350ms post-stimulus onset in response to target detection in visual search tasks. During this time window, target detection causes a negative deflection in the ERPs measured contralaterally to the target, allowing the lateralization of the target to be determined. Here we explore the feasibility of an N2pc-based BCI paradigm by analyzing the classification performance of participants based on data collected during an N2pc elicitation task. We quantify performance as a function of two variables;channel selection and the number of trials averaged together to obtain the ERP. Preliminary results indicate that with as few as three trials, the N2pc can be classified at nearly 90% accuracy in some individuals. These results could directly lead to the development of a new BCI paradigm, which we plan to realize in future work through the construction of a speller interface.

关键词： Brain-computer Interfaces Enterprise resource planning Event-related potentials Electroencephalography Object detection Stimulus Onset Targets Visual Search experimentation

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Churn Prediction in Financial Risk Management using Deep Learning Techniques

Churn Prediction in Financial Risk Management using Deep Lea...

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Advanced Technologies in Intelligent Control, Environment, Computing & Communication engineering (ICATIECE), International Conference on

作者： V Sunil Kumar Sowmyashree S Piyush Kumar Pareek Ashish Khanna Victor Hugo Costa de Albuquerque Deepak Gupta Department of Artificial Intelligence & Machine Learning Nitte Meenakshi Institute of Technology Bengaluru Computer Science & Engineering East West Institute of Technology Bengaluru Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Cearά Fortaleza Brazil CSE dept Maharaja Agrasen Institute of Technology GGSIPU Department of Teleinformatics Engineering Federal University of Cearά Brazil

ISBN: (纸本)9781665493970

It is essential to develop an efficient Client Relationship Model in order to make use of the estimations about customer turnover (CRM). Finding and breaking down the facts surrounding the business information understanding is necessary for client produce prediction, which should be made possible effectively by altering the strategies used for business insight. The tools that are provided by company insight allow for the historical, current, and prospective perspectives of business activity to be anticipated and dissected. It is possible to deal with it in an efficient way by providing the information mining approaches that choose the data from the created informative index that is the most helpful. Fundamental leadership should be possible to achieve in a fruitful way if one has this information. The actions that consumers have taken in the recent past are going to be analyzed, and an accurate forecast is going to be formed about those customers who are likely going to get unhappy in the near future based on the results of that prediction. The problem is that deciding on a certain period to investigate the client's activities and also establishing on a specific day and age for each of the clients won't be appropriate6. This is due to the fact that the problem is caused by the fact that deciding on a certain period to investigate the client's activities will take too long. The challenge lies just in this aspect. How to decide on a certain amount of time to spend researching the activities of the customer. For instance, when planning a model, 100 customers are used, 70 of those customers are considered “active,” which indicates that they are still conducting business with the organisation, and the remaining 30 customers are considered “agitate,” which indicates that they have severed their ties with the organisation. The primary purpose of the work that has been suggested is to carry out exploratory research and management as a multicriteria basic leadership issue, a

关键词： Leadership Roads Companies Predictive models Media Planning Data mining

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