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International Conference on Information Management and Technology (ICIMTech)

作者： R. Benny Gandara Gunawan Wang Ditdit Nugeraha Utama Master Program of Electrical Engineering Mereu Buana University Jakarta Indonesia Information Systems Management Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia

Wireless technology gradual growth in the latest years has facilitated it to bridge its applications operated extensively in many types of industry. Wireless sensor network (WSN) technology brings several benefits over traditional wired technology by reason of the lower cost, immense flexibility escalation, and scalability which is able to be obtained from the old-style one. However, in its application WSN still experience some constraints on resource limitations in the form: processor, memory and energy, and any more challenges that related to availability, reliability and security. Based on its benefits, limitation, and challenges, and also three systematic stages, the review study was performed. The result of study was portrayed in this paper. It is regarding investigation result of hybrid cryptography (HC, as one of defense methods) realized for WSN to methodically increase the security level and decrease the resources usage. The result concluded that HC was proven in escalating the security defense level and downgrading the resources use on WSN compared to symmetric and asymmetric algorithms.

关键词： Wireless sensor networks Cryptography Libraries Protocols Systematics Bibliographies

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DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

arXiv

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arXiv 2022年

作者： Chen, Jiayi Wu, Wen Shi, Liye Ji, Yu Hu, Wenxin Chen, Xi Zheng, Wei He, Liang School of Computer Science and Technology East China Normal University Shanghai200062 China Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention School of Psychology and Cognitive Science East China Normal University Shanghai200062 China School of Data Science and Engineering East China Normal University Shanghai200062 China Information Technology Services East China Normal University Shanghai200062 China

Sequential recommendations have made great strides in accurately predicting the future behavior of users. However, seeking accuracy alone may bring side effects such as unfair and overspecialized recommendation results. In this work, we focus on the calibrated recommendations for sequential recommendation, which is connected to both fairness and diversity. On the one hand, it aims to provide fairer recommendations whose preference distributions are consistent with users' historical behaviors. On the other hand, it can improve the diversity of recommendations to a certain degree. But existing methods for calibration have mainly relied on the post-processing on the candidate lists, which require more computation time in generating recommendations. In addition, they fail to establish the relationship between accuracy and calibration, leading to the limitation of accuracy. To handle these problems, we propose an end-to-end framework to provide both accurate and calibrated recommendations for sequential recommendation. We design an objective function to calibrate the interests between recommendation lists and historical behaviors. We also provide distribution modification approaches to improve the diversity and mitigate the effect of imbalanced interests. In addition, we design a decoupled-aggregated model to improve the recommendation. The framework assigns two objectives to two individual sequence encoders, and aggregates the outputs by extracting useful information. Experiments on benchmark datasets validate the effectiveness of our proposed model. Copyright © 2022, The Authors. All rights reserved.

关键词： Calibration

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IoT System for Floating Raft Hydroponics: Nutrient Monitoring and Automation 13

IoT System for Floating Raft Hydroponics: Nutrient Monitorin...

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13th International Physics Seminar 2024, IPS 2024

作者： Purwalaksana, A.Z. Wahyu, S. Ndari, W.E.W. Syah, S.A. Rismawati, E. Kusumadjati, A. Suharmanto, P. Department of Physics Universitas Negeri Jakarta Jl. Rawamangun Muka Jakarta13220 Indonesia Department of Physics Education Universitas Negeri Jakarta Jl. Rawamangun Muka Jakarta13220 Indonesia Physics Study Program Indonesia Defense University IPSC Sentul Area West Java16810 Indonesia Department of Industrial Engineering Faculty of Engineering and Computer Science Universitas Indraprasta PGRI Jl. Nangka Raya No.58 C Jakarta12530 Indonesia

The utilization of hydroponic cultivation in agriculture is increasing due to its high productivity even in limited spaces. However, in practice, monitoring and controlling nutrients in hydroponic systems often require intensive human supervision and intervention. This issue can be addressed through technological advancements, particularly with the adoption of microcontrollers, sensors, and the Internet of Things (IoT). Previous research has developed IoT-based monitoring and control systems for DFT hydroponics using the Blynk platform. This study aims to develop an IoT-based nutrient monitoring and automation system for floating raft hydroponics. Floating raft hydroponics was chosen for its simplicity, lower installation costs, and space optimization. The system developed in this study uses the HC-SR04 ultrasonic sensor with an average error of 1.229%, the DS18B20 water temperature sensor with an error of 0.415%, and the TDS sensor with an error of 2.055%. The sensor and actuator measurement data are presented via the Antares Web. This research has the potential to minimize the necessity for manual intervention in hydroponic systems, thereby enhancing both efficiency and consistency in nutrient delivery. © Published under licence by IOP Publishing Ltd.

关键词： Hydroponics

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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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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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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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