Miracle-dz/UniFAR-FTUs huggingface dataset:
Representation and control of coordinated-motion tasks for human-robot systems

Hyungju Andy Park Ph.D., Purdue University, May 2016. Representation and Control of Coordinated-Motion Tasks for Human-Robot Systems. Major Professor: C. S. George Lee. It is challenging for robots to perform various tasks in a human environment. This is because many human-centered tasks require coordination in both hands and may often involve cooperation with another human. Although human-centered tasks require different types of coordinated movements, most of the existing methodologies have focused only on specific types of coordination. This thesis aims at the description and control of coordinated-motion tasks for human-robot systems; i.e., humanoid robots as well as multi-robot and human-robot systems. First, for bimanually coordinated-motion tasks in dual-manipulator systems, we propose the Extended-Cooperative-Task-Space (ECTS) representation, which extends the existing Cooperative-Task-Space (CTS) representation based on the kinematic models for human bimanual movements in Biomechanics. The proposed ECTS representation can represent the whole spectrum of dual-arm motion/force coordination using two sets of ECTS motion/force variables in a unified manner. The type of coordination can be easily chosen by two meaningful coefficients, and during coordinatedmotion tasks, each set of variables directly describes two different aspects of coordinated motion and force behaviors. Thus, the operator can specify coordinatedmotion/force tasks more intuitively in high-level descriptions, and the specified tasks can be easily reused in other situations with greater flexibility. Moreover, we present consistent procedures of using the ECTS representation for task specifications in the upper-body and lower-body subsystems of humanoid robots in order to perform manipulation and locomotion tasks, respectively. Besides, we propose and discuss
The Dice co‐efficient: a neglected verification performance measure for deterministic forecasts of binary events

When deterministic forecasts of binary events are made, there are circumstances in which the number of ‘correct rejections’, d, is difficult to define or is so large that it will dominate in calculations of most performance measures. For this reason it is sometimes desirable to use a measure that is independent of d. The usual measure of choice in meteorology is a/(a + b + c), variously known as the threat score, or the critical success index (CSI), where a, b, c are the numbers of hits, false alarms and misses respectively. An alternative measure that is in common use in ecology is the Dice co‐efficient 2a/(2a + b + c), but it does not appear to have been used in meteorology. The aim of this note is to introduce the Dice co‐efficient to a meteorological audience with a brief history, and compare its properties with those of the CSI. The two measures share many properties, both good and bad, but the Dice co‐efficient has some appealing interpretations not shared by the CSI. In particular, it can be calculated by dividing the number of hits by the average of ‘total number of events observed’ and ‘total number of events forecasted’. It is also obtained as the harmonic mean of the hit rate a/(a + c) and the frequency of hits a/(a + b).
APLIKASI PESANAN SEGERA MUDAH ALIH (MOBILE INSTANT MESSAGING) DALAM PEMBELAJARAN KOLABORATIF: SATU KAJIAN ANALISIS KEPERLUAN

The use of mobile instant messaging (MIM) application to support collaborative learning is potential to be implemented in the formal education. This is because MIM applications has appropriate features such as speed, effectiveness and available at no cost has gain interest in education nowadays. Therefore, this study aimed to identify the need to develop a model of collaborative learning using MIM application in formal education. This study is based on the lecturers’ perceptions and level of acceptance and intention to use MIM application if implemented in formal courses. The study involved the lecturers in Malaysia Institute of Teacher Education (IPGM) in central zone’s campuses. The instrument used in this study is a set of needs analysis survey questionnaire which was constructed based on The Unified Theory of Acceptance and Use of Technology (UTAUT). Data were analyzed using Statistical Package for Social Science (SPSS) involving descriptive statistics such as mean, standard deviation, percentage and frequency. The findings showed that the lecturers have at least one mobile device technology with the devices they have at least the required minimum capacity to implement M-Learning. This shows that the lecturers have access to the technology needed to use MIM application in their teaching process. They also show the high level of acceptance and intend to use MIM application in their formal course.
Flow Fair Sampling Based on Multistage Bloom Filters

Network traffic distribution is heavy-tailed. Most of network flows are short and carry very few packets, and the number of large flows is small. Traditional random sampling tends to sample more large flows than short ones. However, many applications depend on per-flow traffic other than just large flows. A flow fair sampling based on multistage Bloom filters is proposed. The total measurement interval is divided into n child time intervals. In each child time interval, employ multistage Bloom filters to query the incoming packet’s flow whether exists in flow information table or not, if exists, sample the packet with static sampling rate which is inversely proportional to the estimation flow traffic up to the previous time interval. If it is a new flow’s first packet, create its flow information and insert it into the multistage Bloom filters. The results show that the proposed algorithm is accurate especially for short flows and easy to extend.
PENGUKURAN KUALITAS DAN BRAND DENGAN METODE AHP (ANALYTHIC HIERARCHY PROCESS)

Faktor intangibles merupakan faktor tidak terukur yang mendukung keunggulan kompetitif perusahaan, di mana faktor intangibles berperan terhadap kemajuan perusahaan. Penelitian ini mengukur kualitas dan brand sebagai faktor intangibles yang mempengaruhi penentuan harga jasa laundry. Pengukuran faktor intangibles ini menggunakan metode AHP (Analytic Hierarchy Process). Pengukuran faktor intangibles dengan metode AHP untuk mengetahui faktor intangibles yang paling berpengaruh dalam penentuan harga jasa laundry. Kriteria dari faktor intangibles kualitas yang dipertimbangkan dalam penentuan harga adalah lama pengerjaan, teknik pengerjaan, dan prosedur pelayanan. Sedangkan kriteria dari faktor intangibles brand yang mempengaruhi penentuan harga jual di jasa laundry yaitu brand dan strategi marketing. Faktor intangibles yang paling berpengaruh terhadap harga jual adalah kualitas yaitu dengan bobot 0,73, sedangkan bobot brand hanya 0,27. Kata kunci: Faktor intangibles, AHP, kualitas, brand.
The Relationship between Organizational Commitment and Nurses’ Turnover Intention Behavior at Tertiary Private Hospitals in Najran, KSA

Nurses’ turnover intention has the potential to have devastating consequences on their lives, healthcare agencies and communities as a whole. It seems to be the main issue faced by many organizations due to the higher costs and losses that may occur as a result of turnover intention. Most countries are facing a shortage of nurses. Organizational commitment is one of the factors most related to the turnover intention among nurses. This study investigates the relationship between organizational commitment and turnover intention. This study utilizes a survey questionnaire distributed to 250 nurses working at three tertiary private hospitals in Najran, Kingdom of Saudi Arabia (KSA). The current study shows a significantly negative relationship between organizational commitment and turnover intention among nurses. The present study contributes by providing assistance to the human resource department to determine the root causes of turnover intention. Overall, this study contributes to nurses' turnover intention literature in the context of the Middle East, specifically, since the nurses are an essential part of the healthcare industry, ultimately improving the quality of healthcare services provided to patients.
Empirical studies of methods for safety and security co-analysis of autonomous boat

: Many autonomous systems are safety-critical, e.g., autonomous cars, boats, or aerial vehicles. Autonomous systems rely on software and communications. Security vulnerabilities of software and communication will give adversaries possibilities to attack and compromise security and safety. Therefore, when analysing safety, security should be co-analysed. In this study, we explored three safety and security co-analysis methods: Systems-Theoretic Process Analysis (STPA) plus STPA-Security Analysis (STPA-Sec), Failure Mode, Vulnerabilities and Effect Analysis (FMVEA), and Combined Harm Assessment of Safety and Security for Information Systems (CHASSIS). The purpose is to compare applicability, efficiency, and hazards identified by the different methods. An autonomous boat is used as the case study. Results of the study show that STPA plus STPA-Sec and CHASSIS can be more time consuming to use than FMVEA. However, STPA plus STPA-Sec and CHASSIS can help analysers identify more hazards of autonomous systems than FMVEA. Results of the study reveals weaknesses of each method to analyse autonomous systems with different levels of autonomy. We therefore propose possible improvements and combinations of the methods.
An ICT cost comparison of different market structures for distributed ancillary services

Future energy ecosystems need new market structures and interactions between TSO and DSOs, in order to realise distributed ancillary services. This paper estimates and compares ICT costs of several TSO-DSO coordination and market aggangements proposed in the SmartNet project. A hybrid cost estimation methodology, which utilises constructive cost model methodology, expert estimates, a national DSO regulation model, and implementation of a simulator, is employed to estimate the development costs of aggregation and market clearing systems needed to realise the market schemes. ICT costs of different arrangements turn out to be at the same level and they are minor in comparison to energy-related costs. However, depending on the overall design of the markets for distributed flexibility, aggregators may have the largest ICT costs and investment needs.
The End of Cheap Labour: Are Foreign Investors Leaving China?

China's government is promoting the shift towards a consumption-based economy since a few years. The explicit goal to significantly raise the percentage of wages in the national household income is integral part of the 12th Five-Year Plan (2011-15). The changes in the economic strategy are likely to affect the attractiveness of the country to foreign investors. In this paper, we raise the hypothesis that soaring wages negatively affect FDI inflows to China and alter the distribution of FDI over Chinese provinces. In addition, low-wage countries in the geographical surrounding might benefit from the changed direction of FDI inflows. By performing panel models with spatial effects for both Chinese provinces and developing ASEAN countries, regional dependencies are explicitly addressed. We provide strong and robust evidence that the wage increases change the distribution of FDI within China. In addition, we show that the changes in China's economic strategy improve the chances of its low-income neighbours to attract FDI.
Strengthening the UK evidence base on management and leadership capability

Recent evidence suggests that compared to its international competitors, the UK underperforms in terms of management and leadership skills. This implies that an improvement in this area could help to reduce the UK's productivity gap with the US, France and Germany. The lack of a measurable framework, and gaps in the available evidence, make it difficult to pinpoint the strengths and weaknesses in the UK's management leadership base. The Department of Trade and Industry commissioned this report to assess the evidence base on management and leadership, and to make recommendations as to how it could be improved, with a view to designing and shaping policy to improve UK productivity through better management and leadership. IES spoke with policymakers, employer representative bodies and academics in the field, to identify the key questions on UK management and leadership skills that require answering. A model framework was developed to identify the elements of the chain of impact from management development to organisational performance. This model has been used to critique the current evidence base and clarify the gaps, and the existing data sources have been mapped against this model to fully understand their current and potential contribution. The options are considered for extending the evidence base in terms of adapting existing surveys and devising a new bespoke survey.
On the functional relationship between language and motor processing in typewriting: an EEG study

ABSTRACT The functional relationship between language and motor processing was investigated to elucidate whether it is better described in terms of a discrete or a continuous account of information flow. To this end, we recorded event-related potentials during a typewriting task that combined a semantic priming paradigm with a manipulation of response side (response initiated with right vs. left hand), and focused on the lateralised potentials indexing motor-response activation and inhibition. The critical issue was to assess whether, in the semantically related condition, the increased evidence for the target representation at the conceptual-lexical levels percolates into motor-response preparation, thus triggering an enhanced activation of the corresponding response hand, or whether lexical-semantic and motor-preparation processes unfold independently. Despite effective priming on response times, no selective influence of semantic relatedness was observed on motor-preparation potentials. These results are more compatible with a discrete account.
IME: A General Method To Analyse Linear Systems And Electric Circuits

This paper is intended to show a general method that relies on the superposition principle to analyse linear systems and electric circuits, based on hierarchical sequences of more simple topologies with some inhibited elements and on a short recollecting logic to calculate the final solution from the previous partial and more elementary solutions. Sections 1, 2 and 3 will mention the origin of the method, why it is general and some its global features, for which there will probably be not enough space to explain in detail, like previous partial calculations reuse. expose non-disciplinary This anonymous theoretical formulation be to other field of by specific formulations, and due to its this method can be directly used to get symbolic solutions from the system which it is being applied to, or even be re-formulated in different algorithmic ways to optimise some aspects, like memory or time consumption. Examples on this matter will be given in a separate companion paper.
The Application of Random Forest in Individual Credit Risk Management

Credit risk has always been one of the primary risks in the field of peer-to-peer (P2P) lending. As an attempt to address the problem, in this paper, we use the random forest method to conduct an empirical study on individual credit forecast using personal credit data from RenRenDai, a popular online P2P lending platform in China. Additionally, the five-fold cross-validation method is introduced to compare the effectiveness across different models including random forest, logistic regression and support vector machine (SVM). Results show that factors such as income, Marriage, birthplace, credit card limit, loan and credit card overdue, have significant effects on predicting personal credit risk; And the random forest model established is superior to logistic regression and support vector machine (SVM) in terms of Accuracy and Specificity.
Mobile Technology, Mobile Money and Financial Services in Emerging Economies

We use data collected by the Financial Inclusion Insights (FII) research and knowledgesharing program that is managed by InterMedia to investigate the uptake of mobile technology, mobile money and financial services in Bangladesh, India, Nigeria, Pakistan, Tanzania and Uganda. We also investigated by country the predictors of use of the most popular mobile money product for these six countries. It was not possible to undertake an econometric analysis for Kenya due to the lack of data on the dependent variable and some predictors. We can infer from the pooled cross-sectional data for Bangladesh, India, Nigeria and Pakistan that the following are significant predictors of using mobile money: (i) possession of a job or income source; (ii) possessing a mobile phone; (iii) possessing a bank account; (iv) degree of trust in mobile money services; (v) degree of trust in mobile money agents; as well as (vi) basic literacy. Keywords: financial inclusion, mobile money, financial innovation, ‘know-do’ gap, binomial logistic regression.
Method B as ed Link Similarity in Social A Community Influence Prediction Calculation Network

In this paper, we propose a community influence prediction calculation method based link similarity in social network. First, we present a model of community influence prediction, and then describe its related models formally. Secondly, we give a set of factors, including label similarity between users, similarity between uses based common neighbors, and their calculation methods, which can evaluate the similarity between users and then estimate whether a new user would join the community or not in near future. Furthermore, we address a method of renewing the community structure and influence respectively. Finally, experimental results verify the effectiveness and feasibility of our proposed method. Keywords-Link similarity; Community Influence;
An Outpatient Appointment Scheduling System Based on the Logistic Regression Method

Abstract In the age of rising patients’ self-awareness, reducing patient waiting time is one of the most important issues for hospitals. In Taiwan, the schedule of outpatient appointment time is arranged according to experience, and several possible factors influential to the prediction accuracy are neglected, which inducing patient's uncomfortable feeling. In this paper, sample data of a medical center located in central Taiwan is collected. Three methods for predicting the outpatient appointment time were conducted and compared, including the hospital's method, the moving average method, and the logistic regression method. The experimental results show that the appointment scheduling system based on our proposed algorithm can efficiently improve service quality by increasing prediction accuracy on the outpatient appointment time.
Towards a POAR artefact for process-oriented appraisals and rewards

This study tackles the misalignment challenges between Business Process Management (BPM) and Human Resource Management (HRM), and more specifically regarding employee appraisals and rewards. By following the Design-Science Research (DSR) methodology, we will develop artefacts to help managers obtain an overview of what to change for better aligning appraisals and rewards to their business processes. This work-in-progress intends to contribute to a better understanding of this BPM-HRM alignment, and will offer practical solutions to a contemporary business issue.
THE EFFECT OF COMMUNICATION AND CONFLICT HANDLING ON BANK CUSTOMER LOYALTY THROUGH SATISFACTION AS MEDIATING VARIABLE IN RIAU ISLAND PROVINCE INDONESIA

This study aims to investigate the mediating role of customers' satisfaction on the effect of communication and conflict handling on long-term customers' loyalty in the banking sector in Riau Island Province. As part of the implementation of Customer Relationship Management (CRM), this study supports that there is a significant role between communication and conflict handling, satisfaction, and customer loyalty. The model developed in this study to measure customer loyalty through the implementation of customer relationship management (CRM) strategy of the banking services industry in Riau Island Province. The conclusion could be recommended for bank management in implementing the proper CRM strategy and maintaining the longtime relationship with the prime customers.
The Effect of Strategic Orientation on the Speed of Internationalization in Small and Medium-sized Enterprises in South Korea

This study demonstrates the impact of strategic orientation on internationalization speed in small and medium-sized enterprises (SMEs). The results of an empirical analysis on 206 SMEs located in the Gwangju and Jeonnam regions of South Korea are as follows. First, export orientation has a positive impact on the speed of internationalization in SMEs. This result suggests that export-oriented SMEs can increase internationalization speed by not only sharing and utilizing information about overseas markets, but also by showing higher export commitment. Second, innovation orientation does not have a significant effect on the speed of internationalization in SMEs. It is believed that general SMEs tend to have a relatively difficult time carrying out innovation activities or taking risks because they instead seek stability in environments of intense competition. Finally, relationship orientation is shown to have a positive influence on the speed of internationalization in SMEs. As preceding studies emphasize, these findings suggest that SMEs can supplement their limited resources and capabilities through inter-firm cooperation networks, which may shorten the time it takes to internationalize. This study identifies a link between strategic orientation in SMEs and the speed of internationalization, which is a relatively understudied area of existing literature. Furthermore, this study considers relationship orientation as a dimension of strategic orientation, which preceding studies do not explore.
Local Community Detecting Method Based on the Clustering Coefficient

Community detecting has been a research topic in the complex network area.The global information of the whole network,which is required by the traditional community detecting algorithms,is hard to get when the scale of the network grows.On the other hand,in many cases we only care about the local community of one particular node of the network.To make the local community detecting faster and more accurate,this paper proposed a local community detecting method based on the clustering coefficient of the nodes.The proposed method,which leverages the connectivity density and the characteristics of clustering coefficient,starts from the target node of the network and detects the community it belongs to by searching the neighbor nodes.This method requires only the local network information related to the target node and is faster compared to the traditional community detecting algorithm.It is also applicable for global community structure detecting.The method was applied to the Zachary network and JSCG,and the experiment results were analyzed by comparing with the actual characteristics of the object network.