Pop Music Highlighter: Marking the Emotion Keypoints

The goal of music highlight extraction is to get a short consecutive segment of a piece of music that provides an effective representation of the whole piece. In a previous work, we introduced an attention-based convolutional recurrent neural network that uses music emotion classification as a surrogate task for music highlight extraction, for Pop songs. The rationale behind that approach is that the highlight of a song is usually the most emotional part. This paper extends our previous work in the following two aspects. First, methodology-wise we experiment with a new architecture that does not need any recurrent layers, making the training process faster. Moreover, we compare a late-fusion variant and an early-fusion variant to study which one better exploits the attention mechanism. Second, we conduct and report an extensive set of experiments comparing the proposed attention-based methods against a heuristic energy-based method, a structural repetition-based method, and a few other simple feature-based methods for this task. Due to the lack of public-domain labeled data for highlight extraction, following our previous work we use the RWC POP 100-song data set to evaluate how the detected highlights overlap with any chorus sections of the songs. The experiments demonstrate the effectiveness of our methods over competing methods. For reproducibility, we open source the code and pre-trained model at https://github.com/remyhuang/pop-music-highlighter/.Comment: Transactions of the ISMIR vol. 1, no.

Comments on four multi-server authentication protocols using smart card

Recently, researchers have proposed several nice multi-server authentication protocols. They claim that their protocols are secure and can withstand various attacks. However, after reviewing their schemes, we found that they although are perfect whereas flawed. Due to this observation, in this paper, we list the weakness found in these recent literatures

Multichannel retailer influences price differentiation

[[abstract]]當零售商洞悉消費者偏好與產品差異時，便採取價格差異化來增加自身的財務績效。而零售商發展多重通路(即整合虛實通路) 在不同脈絡下賦予消費者各種不同屬性與利益進行價格差異化的機會。然而，先前文獻大多僅探討單一通路對價格差異化的影響，而在價格離散部分的研究亦僅以過去價格資訊進行分析。因此，本研究欲以顧客觀點探討多重通路零售商的價格離散之特徵因素對以顧客價值為基礎價格差異化的影響。 本研究以調查研究法為主，針對台灣地區具有網路購物經驗的消費者發放問卷，有效問卷共381份。以線性迴歸分析分別探討市場特徵(競爭程度、消費者涉入程度)、零售商特徵(服務品質、交易通路、商店形象)、產品特徵(產品型態、品牌權益)與知覺價格之間的關係，並檢驗不同的人口統計變數對各個變數的影響。其結果顯示市場特徵的競爭程度、零售商特徵的服務品質與商店形象以及產品特徵的產品型態和品牌權益會影響價格差異化。 本研究以資訊經濟學的價格離散理論實證影響價值為基礎的價格差異化之因素，說明零售商整合實體門市與虛擬網站的通路並藉此進行以價值為基礎的價格差異化可降低消費者對網路通路的知覺風險，並透過卓越的服務品質、通路便利、良好商店形象與高品牌權益等顧客價值的傳遞，使顧客願意支付更多的價格溢酬。[[abstract]]When retailers insight into consumer preferences and product differentiation they increase their financial performance using price differentiation There are a variety of attributes and benefits which retailers developed multichannel via consumers give them applying to price differentiation in different context However previous literatures mostly explore single channel influence on price differentiation and the studies in part of price dispersion are only analyzing past price information Therefore according to the customer perspective exploring characteristic factors of price dispersion for multichannel retailers effect on customer value-based price differentiation The method to carry out our study was using a questionnaire survey which aimed at consumers who has been shopping online in Taiwan Total received 381 questionnaires Taking linear regression analysis explores relationship of the market characteristics retailer characteristics the product characteristics and price differentiation And examine the relationship of the different population variables among these dimensions According to price dispersion of information economics demonstrates the factors of value-based price differentiation indicating that retailers use bricks-and-clicks and implement value-based price differentiation reducing consumer’s perceived risk on internet and delivering customer value by service quality transaction channel store image and brand equity allowing customers are willing to pay price premiu

[[alternative]]Studying on the Trust Model of Health Cloud Value-added

[[abstract]]　　在雲端服務的發展趨勢下，健康資料的加值服務被視為雲端應用的一環，其可增進民眾的健康維護而減緩健保費用年年增長的壓力。健康雲資料加值服務的推展，有賴於「利害關係人」的參與，以及對加值服務平台的「信任」與自由選擇行為。　　本研究以利害關係人理論與社會交換理論為基礎，信任為架構核心，提出一個結合數據風險、財務風險、法律風險、認知的利益及自主性與選擇的理論 模式，以社會大眾為實證研究對象，對健康雲資料加值服務模式選擇進行問卷調查。本研究採用SPSS 及PLS 做為分析之工具，對所得之樣本進行資料分析。問卷總數300 份，問卷回收245 份，有效問卷224 份。經由樣本資料分析結果顯示：1.數據風險、認知的利益、自主性對信任具有正向影響。2.財務風險及法律風險對信任之影響不顯著。3.信任對選擇具有正向影響。[[abstract]]　　Trends in cloud services, health information value-added services is regarded as part of cloud applications, which can improve people's health maintenance and slowing growth in health care costs every year pressure. Promoting healthy cloud data value-added services, depends "stakeholders" to participate, as well as value-added service platform "trust" with freedom of choice behavior.　　In this study, stakeholder theory and social exchange theory is based on trust architecture core, combined with the data presented a risk, financial risk, legal risk, perceived benefits and autonomy and choice theoretical model to the public for the empirical study , value-added services to health cloud data mode selection questionnaire. In this study, SPSS and PLS analysis as a tool, to be obtained from the sample data analysis. 300 Total number of questionnaires, 245 questionnaires, 224 responses were received. Data analysis showed that funding through the sample: 1.Data risk, cognitive benefits, autonomy has a positive impact on trust. 2.The impact of financial risk and legal risk is not significant trust. 3.Trust has a positive influence on choice

Protective Effects of Wogonin against Alzheimer’s Disease by Inhibition of Amyloidogenic Pathway

One of the pathogenic systems of Alzheimer’s disease (AD) is the formation of β-amyloid plaques in the brains of patients, and amyloidogenic activity becomes one of the therapeutic targets. Here, we report wogonin, one of the major active constituting components in Scutellaria baicalensis, which has the neuroprotective effects on amyloid-β peptides- (Aβ-) induced toxicity. Oral wogonin treatment improved the performance of triple transgenic AD mice (h-APPswe, h-Tau P301L, and h-PS1 M146V) on the Morris water maze, Y-maze, and novel object recognition. Furthermore, wogonin activated the neurite outgrowth of AD cells by increasing neurite length and complexity of Tet-On Aβ42-GFP SH-SY5Y neuroblastoma cells (AD cells) and attenuated amyloidogenic pathway by decreasing the levels of β-secretase, APP β-C-terminal fragment, Aβ-aggregation, and phosphorylated Tau. Wogonin also increased mitochondrial membrane potential (∆ψm) and protected against apoptosis by reducing the expression of Bax and cleaved PARP. Collectively, these results conclude that wogonin may be a promising multifunctional drug candidate for AD

Design and Implementation of a High Power Density Active-Clamped Flyback Converter

This paper presents a high power density power converter using an active-clamp flyback converter. The voltage spike in the conventional flyback converter can be eliminated to reduce electromagnetic interference and voltage stresses on power switches by using an active-clamped circuit. The relationship between zero-voltage-switching condition of high frequency power switches and magnetizing inductance and leakage inductance is analyzed and discussed. GaN devices are used both as primary and secondary switches to reduce the converter volume and switching losses, to achieve high power density. The planar transformer design reduces the conduction losses and current stresses of the secondary switches attributed to the winding configuration. With theoretical analysis and circuit simulation, a 65-W (19 V/ 3.3 A) active-clamped flyback converter with universal input voltage capability is developed and tested. The peak efficiency is up to 93% at low line voltage and the power density is 1.879 W/ cm3