This paper describes a ubiquitous learning log system called SCROLL (System for Capturing and Reminding of Learning Log). stands the knowledge or experience acquired ubiquitously. study primarily exploits personalized context-aware method supporting system. Its aims lie in helping learners recall what they have logged (learned) making use contexts learners' habits. The contains three main measures, which are to recommend objects accordance with both needs contexts, detect their habits using...

Described the meaning of Short-Term Power forecasting firstly, then gives summary basic principles and steps power load forecasting, analyses disadvantages traditional methods, proposing analysis plan base on BP neural network theory. Taking full account relationship between daily weather factors, establishes a short-term model. Results prediction are verified highly precise stable, which makes it suitable for different conditions.

This paper describes implementation guidelines for ubiquitous seamless mobile learning featuring the learning-log system named SCROLL (System Capturing and Reminding of Learning Log). helps users to share remind experiences. We review recent researches on assisted in order set pedagogically-based instructors, environment designers administrative end or decision makers including ICT coordinator, local authorities. Main foci our are language teachers practice SROLL-based their classes both...

This paper describes an adaptive learning system using mobile phone email to support the study of vocabulary learning. In our we try resolve a common problem which usually occurs in mobile-based or SMS language systems. To achieve this goal, have adopted methods system, such as sending contents learner following his her interests, adjusting difficulty level tests suit learner's proficiency and adapting style. Furthermore, has already been evaluated by learners results show that most them...

This paper proposes Seamless Mobile-Assisted Language Learning Support System (SMALL system), which aims to entwine in-class learning with out-of-class learning. Learners upload what they have learned the SMALL system and then it supports linking vocabulary one. It also links students' self-learning that of others. function is significant because we need encounter as many different contexts possible build up vocabulary. retaining in long-term memory by giving quizzes. The evaluation this...

This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeias (MIO) using wireless sensor network 'MOTE'. In our previous work, a learner wears sensors so that the provides appropriate MIO expressions at his/her place. this current called JAMIOLAS2, MOTE is used to get data from environment, e.g. temperature light. The recommends right place person learn expressions. describes implementation, interface usage scenario of...

This paper proposes a ubiquitous learning log system called SCROLL (System for Capturing and Reminding Of Learning Log). Ubiquitous Log (ULL) is defined as digital record of what you have learned in the daily life using technologies. It allows to your experiences with photos, audios, videos, location, QR-code, RFID tag, sensor data, share reuse ULL others. Using SCROLL, can receive personalized quizzes answers questions. Also, navigate be aware past ULLs supported by augmented reality view....

The mechanical stabilities and nonlinear properties of monolayer Gallium selenide ( GaSe ) under tension are investigated by using density functional theory (DFT). ultimate stresses strains the structure evolutions armchair (AC), zigzag (ZZ) equiaxial (EQ) tensions predicted. A thermodynamically rigorous continuum description elastic response is given expanding strain energy in a Taylor series Lagrangian truncated after fifth-order term. Fourteen nonzero independent constants determined...

Due to the electrically small antenna of wireless sensor in automotive tire pressure monitoring system (TPMS), transmission efficiency TPMS is low. To increase system, a wheel proposed this paper. The consists valve and wheel. three-dimensional electromagnetic (3D EM) simulation model presented. results are used for design matching circuit determination input power. evaluate performance, test methods received power data used. vehicle-carrying show that with has better performance than...

Abstract: Network traffic anomaly detection technology is an effective method for monitoring network security status and identifying potential attacks. With the increasing volume of data exhibiting high dimensionality imbalance, traditional intrusion models face limitations in efficiency accuracy. Existing methods often overlook issues related to temporal features class imbalances, further hindering efficiency. In response these challenges, this paper proposes attention-based convolutional...

Security of wireless mesh networks (WMNs) is critical for their deployment and management. To provide the fundamental user authentication, access control transmission confidentiality services, authentication key agreement (AKA) crucial issue. In this paper, ECC- based self-certified public cryptosystem (ECCSCPKC) introduced constructing WMNs security infrastructure; its related schemes, with a few modifications, are used designing AKA protocol. The proposed scheme supports an efficient...

We proposed SMALL (Seamless Mobile-Assisted Language Learning Support System) seeking for seamless language learning in our previous study. In this paper, we describe how far have developed the system realization of learning. As first step, aim to support English vocabulary learning, since is one fundamental aspects The initial evaluation showed that experimental group a larger improvement two kinds tests than control group. uploaded less words, but learned more words added some fun factor...

In this paper, we propose a web-based Japanese mimicry and onomatopoeia learning assistant system (JAMIOLAS). our previous studies, have proposed context-aware language systems that used wearable sensor network respectively, attended good results. order to use model in broader area more general scene, are trying realize the on website, using on-line information as data from global network. Besides, support words, also multimedia such video or picture create context for learning.

This paper describes an adaptive learning system based on mobile phone email to support the study of Japanese Kanji. In this study, main emphasis is using resolve one common problem mobile-based or SMS language systems. To achieve goal, authors efforts focus three aspects: sending contents a learner following his her interests, adjusting difficulty level tests suit learner’s proficiency level, and adapting style. Additionally, has already been evaluated by learners results show that most...

With the rapid development of wireless communication industry, shortage situation spectrum resource is increasingly significant. It has become an important topic to study cognitive radio allocation algorithm that higher utilization ratio, less system power consumption and better efficiency. Analyzes models based on genetic algorithm, then puts forward new improved algorithm. The adopts niche crowding operation avoid individual inbreeding. adaptively adjusts crossover mutation probability...

<abstract><p>In this paper, an efficient artificial neural network is proposed for solving a generalized vertical complementarity problem. Based on the properties of log-exponential function, problem reformulated in terms unconstrained minimization The existence and convergence trajectory are addressed detail. In addition, it also proved that if has equilibrium point under some initial condition, asymptotically stable or exponentially certain conditions. At end simulation results...

Early identification and diagnosis of sepsis are very important because timely appropriate treatment can improve the survival outcomes.The aim this study was to explore clinical significance serum cystatin C level in sepsis.The levels C, C-reactive protein (CRP), procalcitonin (PCT) were measured via enzyme-linked immunosorbent assay (ELISA). The patients with followed up for 30 days record their conditions.The expression remarkably elevated compared that healthy controls. significantly...