Feedback Messages Research Articles

Research on WNN modeling for gold price forecasting based on improved artificial bee colony algorithm.

Gold price forecasting has been a hot issue in economics recently. In this work, wavelet neural network (WNN) combined with a novel artificial bee colony (ABC) algorithm is proposed for this gold price forecasting issue. In this improved algorithm, the conventional roulette selection strategy is discarded. Besides, the convergence statuses in a previous cycle of iteration are fully utilized as feedback messages to manipulate the searching intensity in a subsequent cycle. Experimental results confirm that this new algorithm converges faster than the conventional ABC when tested on some classical benchmark functions and is effective to improve modeling capacity of WNN regarding the gold price forecasting scheme.

DANCE : 초고밀도 통신망에서의 소형기지국 온-오프 알고리즘

급증하는 데이터 트래픽을 셀룰러 망에서 처리하기 위한 대안으로 스몰셀이 관심을 받고 있다. 나아가, 스몰셀의 배치밀도는 점차 높아지고 있어 Ultra Dense Network (UDN) 환경이 도래할 것으로 예상된다. 따라서 본 논문에서는 UDN환경에서 소형기지국의 온/오프를 제어하기 위한 방법을 연구한다. 본 논문에서는 소형 Access Point(AP), user equipment (UE), Small Cell Controller (SCC)로 구성된 프레임워크를 제안하고 이를 기반으로 켜져 있는 기지국 수는 최소화 하며, 네트워크 쓰루풋을 유지시키기 위한 소형기지국 온/오프 방법으로 UE와 같은 사용자 디바이스가 SCC로 피드백하는 채널정보를 활용하는 DANCE 알고리즘을 제안한다. DANCE 알고리즘은 피드백이 1-bit인 경우와 N-bit인 경우, 그리고 활성화시키는 소형AP를 선택하는 기준에 따른 AP-first, UE-first, Proximity ON 등으로 세분화할 수 있다. 본 연구에서는 시뮬레이션을 통해 UE의 수와 네트워크의 쓰루풋, 에너지 효율의 관계를 분석한 후, DANCE 알고리즘을 통해 에너지 효율을 높일 수 있음을 보인다. Deploying small cells is a reliable and influential solution to handle the skyrocketing traffic increase in the cellular network, and the small cell technology is evolving to ultra-dense network (UDN). In this paper we propose a small cell on/off algorithm with a simple but essential framework composed of access point (AP), user equipment (UE), and small cell controller (SCC). We propose Device-Assisted Networking for Cellular grEening (DANCE) algorithms that save the energy consumption by tying to minimize the number of turned-on APs while maintaining the network throughput. In doing so, SCC firstly gathers the feedback messages from UEs and then makes a decision including a set of turned-on APs and user association. DANCE algorithm has several variations depending on the number of bits of the UE's feedback message (1 bit vs. N bit), and is divided into AP-first, UE-first, or Proximity ON according to the criteria of selecting the turned-on APs. We perform extensive simulations under the realistic UDN environment, and the results confirm that the proposed algorithms, compared to the baseline, can significantly enhance the energy efficiency, e.g., more than a factor of 10.

Refreshing hotel satisfaction studies by reconfiguring customer review data

This study reconfigures the user generated content in online hotel reviews to provide comparative and benchmarking insights about customer satisfaction. Hangzhou, an emerging tourism city in China, was selected for the study. Over a thousand user-generated reviews about four and five star hotels that were posted on Agoda.com were coded and analysed. Seventeen attributes influencing customer satisfaction were identified. The attributes were classified on the type of influence exerted: satisfiers (work in a solely positive direction), dissatisfiers (work in an exclusively negative direction), bidirectional forces (influence either positive or negative outcomes), and neutrals (no marked influence). The approach enabled the comparison of customer satisfaction between 4 and 5 star hotels, properties with different ownership, and the views of guests from different origins. The study suggests that a focused reclassification of the online review data can deliver powerful customer feedback messages for both researchers and hotel managers.

Efficient channel state feedback scheme for opportunistic scheduling in OFDMA systems by scheduling probability prediction

In this paper, we propose a new feedback scheme called mode selection-based feedback by scheduling probability prediction (SPP-MF) for channel state feedback in OFDMA downlink system. We design the scheme such that it determines the more desirable feedback mode among selective feedback by scheduling probability prediction (SPP-SF) mode and bitmap feedback by scheduling probability prediction (SPP-BF) mode, by calculating and comparing the throughputs of the two modes. In both feedback modes, each user first calculates the scheduling probability of each subchannel (i.e., the probability that a user wins the scheduling competition for a subchannel) and then forms a feedback message based on the scheduling probability. Specifically, in the SPP-SF mode, each user reports the modulation and coding scheme (MCS) levels and indices of its best S subchannels in terms of the scheduling probability. In the SPP-BF mode, each user determines its scheduling probability threshold. Then, it forms a bitmap for the subchannels according to the scheduling probability threshold and sends the bitmap along with the threshold. Numerical results reveal that the proposed SPP-MF scheme achieves significant performance gain over the existing feedback schemes.

Me gusta o te sigo: análisis de la comunicación de prácticas de responsabilidad social corporativa a través de los medios sociales

Corporate Social Responsibility (CSR) can be defined as a responsible way of doing business and the impact these operations have in the economy, the society and the environment. Nowadays, companies use different avenues to communicate CSR initiatives. Social Media platforms are one of the important resources to communicate CSR. This paper performs an empirical analysis of frequency, content, and feedback of CSR messages presented on social platforms (Facebook and Twitter) of 50 companies from the Fortune Magazine. Results showed that in spite of the great resources available for CSR online communication, companies are still in its infancy in promoting a two-way communication process. In order to resolve this problem, this paper proposes a theoretical framework for CSR communication through social media.

A blind mechanism to improve content distribution in delay/disruption tolerant networks

In Delay/Disruption Tolerant Networks (DTNs), content distribution is performed leveraging on the transient and dynamic contacts between moving users. Such a best effort mechanism is prone to unbounded downloading delays and bad user experience. To cope with these occurrences, this paper introduces a novel mechanism to improve content distribution in DTNs. The proposed mechanism is based on the Delay Tolerant Transport Protocol (DTTP)and aims at controlling the diversity in the coded information transmission without increasing the use of network resources or including any feedback messages. In order to validate the proposed mechanism, different scenarios have been evaluated using known DTNs routing protocols. The results show significant gains achieved in terms of delivery ratio in all evaluated scenarios, confirming the efficiency and effectiveness of our protocol independently of the lower layer protocols in use.

Application of Two Dimensional Bar Code in One-Way Transmission System

In the physical isolation network, users usually adopt the one-way transmission system to transmit data from low confidence network to high confidence network. But due to the one-way strictly, one-way transmission system can’t transmit the feedback message from high to low confidence network. What’s more, there are some imperfections in the SMS feedback mechanism and artificial feedback mechanism. Aiming at this issue, we put forward and introduce an improvement feedback mechanism based on the artificial feedback mechanism and the two dimensional bar code, at the same time , we illustrate the advantage of the design and implementation about our mechanism.

Exploring feedback and student characteristics relevant for personalizing feedback strategies

Personalized tutoring feedback is a powerful method that expert human tutors apply when helping students to optimize their learning. Thus, research on tutoring feedback strategies tailoring feedback according to important factors of the learning process has been recognized as a promising issue in the field of computer-based adaptive educational technologies. Our paper seeks to contribute to this area of research by addressing the following aspects: First, to investigate how students' gender, prior knowledge, and motivational characteristics relate to learning outcomes (knowledge gain and changes in motivation). Second, to investigate the impact of these student characteristics on how tutoring feedback strategies varying in content (procedural vs. conceptual) and specificity (concise hints vs. elaborated explanations) of tutoring feedback messages affect students' learning and motivation. Third, to explore the influence of the feedback parameters and student characteristics on students' immediate post-feedback behaviour (skipping vs. trying to accomplish a task, and failing vs. succeeding in providing a correct answer). To address these issues, detailed log-file analyses of an experimental study have been conducted. In this study, 124 sixth and seventh graders have been exposed to various tutoring feedback strategies while working on multi-trial error correction tasks in the domain of fraction arithmetic. The web-based intelligent learning environment ActiveMath was used to present the fraction tasks and trace students' progress and activities. The results reveal that gender is an important factor for feedback efficiency: Male students achieve significantly lower knowledge gains than female students under all tutoring feedback conditions (particularly, under feedback strategies starting with a conceptual hint). Moreover, perceived competence declines from pre- to post-test significantly more for boys than for girls. Yet, the decline in perceived competence is not accompanied by a decline in intrinsic motivation, which, instead, increases significantly from pre- to post-test. With regard to the post-feedback behaviour, the results indicate that students skip further attempts more frequently after conceptual than after procedural feedback messages.

Get moving: the practice nurse is watching you!

The system informs the nurse about levels of physical activity in the daily living of patients who are using the It's LiFe! tool. The tool consists of an accelerometer that transfers data to a smartphone, which is subsequently connected to a server. Nurses can monitor patients' physical activity via a secured website. Physical activity levels are measured in minutes per day compared with pre-set activity goals, which are set in dialogue with the patient. To examine user requirements and to evaluate the usability of the secured website, in order to increase the probability of effective use by nurses. The needs and preferences of nurses towards the system were determined through qualitative research. The usability of the system was evaluated in a laboratory situation and during a three-month pilot study. A monitoring and feedback system to support patients in their intention to be more active was developed in a systematic way. Automatically generated feedback messages were defined based on the requirements of nurses. The results from the usability tests gave insights into how to improve the structure and quality of the information provided. Nurses were positive about the features and ease of use of the system, but made critical remarks about the time that its use entails. The system supports nurses when performing physical activity counselling in a structured and profound way. The opportunity to support self-management of patients in between regular consultations needs further investigation, and adaptation into the clinical workflow of the nurses.

UEP LT Codes with Intermediate Feedback

We analyze a class of rateless codes, called Luby transform (LT) codes with unequal error protection (UEP). We show that while these codes successfully provide UEP, there is a significant price in terms of redundancy in the lower prioritized segments. We propose a modification with a single intermediate feedback message. Our analysis shows a dramatic improvement on the decoding performance of the lower prioritized segment.

Using El Gamal Cryptosystem in Message Feedback Mode for Computing Cost Reduction

This paper discuses comparatively more efficient and cost effective scheme of El Gamal Cryptosystem by introducing the concept of using the established cryptosystems into message feedback mode. The idea behind this is, “an established cryptographic scheme can be used to initiate any communication, and further users may switch to some lightweight process so that the degree of secrecy is maintained by means of the public key cryptosystem and the performance is achieved by using some other lightweight process. Approach discussed in this paper is of using message itself as One Time Pad (OTP), because any automation can‟t produce any random pad than a human being, and their messages posses same property. The length of Key used in El Gamal encryption and size of OTP determines the level of secrecy offered by the proposed system. Further a discussion is made upon the other dimensions of degree of security provided in such implementation. So as a result an applied approach is presented to design a data security mechanism for which users will use message itself as a One Time Pad and El Gamal Cryptosystem to initiate the operations and subsequent steps will involve simple XOR operations for cryptographic purpose. General Terms Cryptography, Network Security, Public Key Cryptosystem, El-Gamal Algorithm

Prototipo de objeto virtual de aprendizaje para la ejercitación en inglés en el primer grado de educación básica

Se describe el primer prototipo funcional y los resultados obtenidos en una prueba piloto realizada con 17 niños del colegio Sintra oficiales de la ciudad de a Floridablanca, con el fin de obtener recomendaciones para aplicar reingenieria a dicho prototipo. Los hallazgos señalan la importancia de proporcionar variaciones de los estímulos de los niños a través del menú de actividades, del mejoramiento de la presentación de algnas actividades y de la interfaz gráfica, especialmente en los mensajes de retroalimentación.

Optimal Random Access for a Cognitive Radio Terminal with Energy Harvesting Capability

We consider a cognitive radio scenario with an energy harvesting secondary user (SU) attempting to access a primary channel randomly. We assume multipacket reception (MPR) capability and investigate a system in which the SU may or may not exploit the primary feedback messages. The access probabilities are obtained to maximize the secondary throughput under the constraints of primary queue stability and such that the primary queueing delay is kept below a specified value in order to guarantee a certain quality of service (QoS) for the primary user (PU). We investigate the impact of the energy queue arrivals, MPR capability, and the primary queueing delay constraint on the maximum secondary throughput.

"Girls on the Move" intervention protocol for increasing physical activity among low-active underserved urban girls: a group randomized trial.

BackgroundIncreasing moderate to vigorous physical activity among urban girls of low socioeconomic status is both a challenge and a public health priority. Physical activity interventions targeting exclusively girls remain limited, and maintenance of moderate to vigorous physical activity during the post-intervention period has been difficult to maintain. The main aim of the 5-year “Girls on the Move” group randomized trial is to evaluate the efficacy of a comprehensive school-based intervention in increasing girls’ minutes of moderate to vigorous physical activity and improving cardiovascular fitness, body mass index, and percent body fat immediately post-intervention (after 17 weeks) and at 9-month post-intervention follow-up (9 months after end of intervention).Methods/DesignA total of 24 urban middle schools in the Midwestern U.S. will be randomized to either receive the intervention or serve as a control (N = 1200 girls). The intervention, based on the Health Promotion Model and Self-Determination Theory, will include: (1) two face-to-face motivational, individually tailored counseling sessions with a registered nurse, one at the beginning and the other at the end of the intervention period; (2) an interactive Internet-based session during which each girl receives individually tailored motivational and feedback messages via iPad at 11 weeks (shortly after midpoint of intervention); and (3) a 90-minute after-school physical activity club. Racially diverse, low-active, 10- to 14-year-old 5th to 8th-grade girls will complete questionnaires and physical measures at baseline and post-intervention (n = 50 per school). Minutes of moderate to vigorous physical activity will be assessed with accelerometers. Cardiovascular fitness will be assessed by estimating VO2 max with PACER (Progressive Aerobic Cardiovascular Endurance Run) scores. Height and weight will be assessed to calculate body mass index. Percent body fat will be estimated with a foot-to-foot bioelectric impedance scale. Linear mixed effects regression analyses will be performed to assess intervention effects.DiscussionThis multi-component approach is expected to improve girls’ moderate to vigorous physical activity and related physical outcomes.Trial RegistrationClinicalTrials.gov Identifier NCT01503333

Design of Timing System Software on EAST–NBI

Neutral Beam Injector (NBI) is one of the main plasma heating and plasma current driving methods for Experimental Advanced Superconducting Tokomaks. In order to monitor the NBI experiment, control all the power supply, realize data acquisition and network, the control system is designed. As an important part of NBI control system, timing system (TS) provides a unified clock for all subsystems of NBI. TS controls the input/output services of digital signals and analog signals. It sends feedback message to the control server which is the function of alarm and interlock protection. The TS software runs on a Windows system and uses Labview language code while using client/server mode, multithreading and cyclic redundancy check technology. The experimental results have proved that TS provides a stability and reliability clock to the subsystems of NBI and contributed to the safety of the whole NBI system.

Matching Creativity Perceptions and Capabilities: Exploring the Impact of Feedback Messages

This two-part study first examines the accuracy of participants’ self-perceptions of creativity and looks at the effects of positive or negative feedback on creativity capability or output. Results of online testing showed that participants with higher self-perceived creativity were ultimately more creative. In part two, participants were provided positive, negative or neutral feedback regarding their first creativity exercises and retested using the same creativity measures. An ANOVA demonstrated no difference in the change in creative output from pre-test to post-test evaluations based on the type of randomly generated feedback message. While not significant, trends are highlighted in the data that warrant further examination in future research. Implications of the findings for instructors are discussed.

Explanation feedback is better than correct answer feedback for promoting transfer of learning.

Among the many factors that influence the efficacy of feedback on learning, the information contained in the feedback message is arguably the most important. One common assumption is that there is a benefit to increasing the complexity of the feedback message beyond providing the correct answer. Surprisingly, studies that have manipulated the content of the feedback message in order to isolate the unique effect of greater complexity have failed to support this assumption. However, the final test in most of these studies consisted of a repetition of the same questions from the initial test. The present research investigated whether feedback that provides an explanation of the correct answer promotes superior transfer of learning to new questions. In 2 experiments, subjects studied prose passages and then took an initial short-answer test on concepts from the text. After each question, they received correct answer feedback, explanation feedback, or no feedback (Experiment 1 only). Two days later, subjects returned for a final test that consisted of both repeated questions and new inference questions. The results showed that correct answer feedback and explanation feedback led to equivalent performance on the repeated questions, but explanation feedback produced superior performance on the new inference questions.

The use of keywords for delivering immediate performance feedback on teacher competence development

Literature shows that feedback that is specific, immediate and goal-oriented is effective on (pre-service) teachers’ performance. Synchronous coaching gives this kind of feedback. Due to immediateness of feedback, pre-service teachers can suffer from cognitive load. We propose a set of standardised keywords through which this performance feedback can be delivered – each keyword acts as a summary for the feedback message. The construction and the selection of the keywords is aimed at the reduction of message ambiguity, while at the same time a low level of cognitive load on the pre-service teacher must be maintained. An in vivo pilot-study with 40 respondents (pre-service teachers and their coaches) supported our hypothesis that usage of such sets of standardised keywords will mitigate the levels of ambiguity and cognitive load. These findings and other considerations for additional research using immediate performance are addressed.

Abstract P176: Pedometer Feedback - Superior for Increasing Daily Physical Activity in Cardiac Rehabilitation Patients

Introduction: Although cardiac patients obtain favorable cardiovascular outcomes and reduced risk of mortality when participating in cardiac rehabilitation (CR), it is well established that most do not typically achieve recommended amounts of daily physical activity (PA) solely through participation in CR. Therefore, the purpose of this study was to examine the relative effectiveness of three different individually tailored interventions designed to increase PA in cardiac patients attending CR. Hypothesis: We assessed the hypothesis that cardiac patients attending long-term CR who receive pedometer feedback (PF) or motivational messaging (MM) will achieve higher levels of PA than patients who receive usual care (UC) recommendations. Methods: A total of 99 (77 men and 22 women, 61.5±10.6 years, BMI 30.6 ± 5.1 kg/m2) patients entering a long-term CR program completed a 12-week PA intervention. Patients were randomized to: UC (time-based recommendation), PF, MM, or PF with individualized MM (PF+MM). Both PF groups were given a goal of increasing step counts/day by 10% of the individual’s baseline value each week. If the goal for the week was not reached, the same goal was used for the next week. PA was assessed for 7 days with Kenz Lifecorder PLUS monitors (Suzukan, Co, LTD, Nagoya, Japan) prior to beginning CR and on the 12 th week of the intervention. Criteria for acceptable PA data were daily wear time > 10 hours on a minimum of 4 days (including at least 1 weekend day) with daily PA > 1000 steps. Results: A two-way ANOVA for change in PA from baseline to 12 th week of the intervention for the 4 groups revealed a significant time and group interaction. Post-hoc testing showed significant increases for both PF and PF+MM, however, no significant change for UC or MM. Conclusion: The findings from this study demonstrate that using PF feedback is superior to the usual time-based recommendations patients are given in CR. CR programs can assist patients in increasing their daily PA by encouraging pedometer use with individualized step goals.

키넥트 센서를 이용한 자기통제 피드백이 가능한 가정용 훈련프로그램 개발

Almost of stroke patients who experience aftereffects such as motor, sensory and cognitive disorders have to take some rehabilitation therapies. It is known that the consistent training for rehabilitation therapy in their home is more effective than rehabilitation therapy in hospital. A few home training programs were developed but these programs don`t give any appropriate feedback messages to the client. Therefore, we developed a home training program which can provide appropriate feedback message to the clients using the Kinect sensor which can analyze user`s 3-D dimensional motion. With this development, the client can obtain some feedback messages such as the knowledges of performance, results and self-controlled feedback. The program will be more effective than any existing programs.