Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-to-market forecast accuracy in Nanotechnology: Do start-up and industry experience matter?

The current economy is changing fast which makes that accurate time-to-market expectations become more important. This study aims to find out to what extent the entrepreneur’s experience has an influence on the accuracy of time-to-market expectations made by venture capital backed Nanotechnology startups. Literature showed that industry experience and start-up experience are related with forecast performance which makes them interesting independent variables for this study. This research is performed with participants from a dataset of a NanoNext project which consists of venture capital backed Nanotechnology startups. From there on the necessary data is collected and a survey is conducted under the participants. Of the 22 start-ups, only 9 start-ups were able to reach the market within their expected time-to-market. A significant association was found between start-up experience and the accuracy of time-to-market expectations. However, there was no association between industry experience and the accuracy of time-to-market expectations. The results are controlled with the variables: age, educational level and sex. Because of the lack of variation within the dataset, educational level and sex could not be taken into account. There is no significant association found between age and the accuracy of time-to-market expectations. It would be interesting if future research could extend this research with a bigger sample size. Besides that, this research design could be applied on a different sector in future research as well.
A Control Algorithm for Autonomous Electric Vehicles by Fuzzy Logic

The domain of autonomous vehicles is of great interest to researchers and engineers and much has been performed in this field. The paper proposes a fuzzy control algorithm for autonomous electric vehicles which are moving next to the obstacle (object) boundaries, avoiding the collisions with them (a “guard motion”). Four motion cycles (programs) which depend of the proximity levels and which are used by the vehicle on its trajectory are described. The directions of the movements corresponding to every cycle and for every reached neighbourhood level are indicated. The sequence of the programs and the conditions of their alternation are shown. The motion control algorithm describes the sequence of the functional cycles by a schernatic program code. The fuzzy rules for evolution (transition) of the cycles and for the motion on x-axis and y-axis respectively are expounded. Finally, some simulations are represented.
Locating the Source of Message Diffusion in the Anonymous Network

Locating the source of message diffusion in the anonymous network is vital for the network management and security. Existing works primarily focus on finding the disease propagation source in a normal network, few works have focused on tracing back the messages in an anonymous network. In this paper, we propose a method to enable us to identify the propagation source of the anonymous message. We are the first to use the message propagation model for the Crowds anonymous network. Based on the simulation study, we demonstrate that the effectiveness of our proposed method.
Wifi Fingerprint Calibration Using Semi-Supervised Self Organizing Map

무선 RSSI fingerprinting 방식은 기존 무선 인프라를 이용하면서 적정수준의 정확도를 얻을 수 있는 실내위치 인식 방법 중의 하나이다. 하지만 라디오 맵 구성( fingerprint calibration) 과정에서 목표 환경의 다양한 위치에서 정확한 물리적 좌표와 무선 신호를 측정해야 하므로 시간과 노력이 많이 소요된다. 이 논문은 이러한 방식으로 위치 정보를 수집하지 않고 반지도식 자기조직화지도 학습 알고리즘을 사용하여 labeled RSSI를 얻고 RSSI 조합으로부터 맵을 구성하는 방법을 제안한다. 모의 데이터에 대한 실험을 통해 제안 방법이 fingerprint 데이터베이스로 부터 1%의 RSSI 샘플을 가지고 효과적인 전체 맵을 얻을 수 있다는 결론을 얻었다.
EVALUATION OF EFFECTIVE PROPERTIES OF HETEROGENEOUS MEDIA THROUGH A GENERAL PURPOSE GRAPHICS PROCESSING UNIT (GPGPU) BASED ALGORITHM

The aim of this paper is to present the application of a parallel Finite Elements Method (FEM) code based on General Purpose Graphics Process Units (GPGPU) to the evaluation of effective mechanical properties of periodic media. The multiscale technique adopted herein is the Asymptotic Expansion Homogenization (AEH), which demands considerable computational effort even for simple geometrical and mechanical material models. In this work, the AEH technique is implemented on a GPGPU basis. The preliminary results indicate a considerable speedup in comparison with a sequencial version of the employed code.
Lexical Aspectual Classification

This work is a first attempt at classification of Lexical Aspect. In this dissertation I describe eight lexical aspectual classes, each initially containing a few members. Using distributional analysis I generate 132 additional seeds, each of which was approved by at least seven out of nine judges. These seeds are in turn fed into a supervised machine learning system, trained on 136 lexical and syntactic features. I experiment on one 8-way classification task, one 3-way classification task, and ten binary classification tasks, and show that five of the eight classes are identified better than by a random baseline measure by a statistically significant margin. Finally, I analyze the relative contribution of each of four feature groups and conclude that the same features which are best in identifying phrasal aspect are also most informative for lexical aspect.
Evaluation in service of the public good: The views of one US American evaluator

What are the proper roles of evaluation in our societies? What purposes and whose interests should evaluation serve? What contributions should evaluation make to the civic structures and social fabric of our communities? In this paper, I argue that the social practice of evaluation can not only provide credible data on the import and impact of social, educational and health programs, which is often understood as its primary role. But, in addition, evaluation itself can contribute to social betterment, to the well being of those our programs are designed to serve, and to the public good. An evaluation practice that is situated in service to the public good is an evaluation practice that is not just technically proficient, but is also politically and socially responsible.
TAX REFORM IN THE PERFORMANCE OF TAX OFFICERS AND ITS IMPLICATIONS ON TAX COMPLIANCE IN THE PERCEPTION OF TAX PAYERS?

Many complaints submitted to tax authorities have an impact on taxpayer compliance in carrying out their obligations, while also creating opportunities for non-compliance in applicable tax regulations. This study aims to determine how much influence tax reforms have on the performance of tax service officers and its implications for taxpayer compliance according to taxpayer perceptions. The data collection instrument used in this study is a questionnaire administered to 372 corporate taxpayer respondents at the Pratama Kelapa Gading Tax Office using the convenience sampling method. The analytical tool used is the Structural Equation Model (SEM) using the LISREL (Linear Structural Relationship) program. The results of this study show that according to the taxpayers' perception, tax reform has a significant influence on tax service performance, tax service performance has a significant influence on taxpayer compliance and tax reform has a significant influence on tax compliance.
The Influence of Event Performance Quality on Attendees’ Satisfaction

This paper attempts to study relationship between quality of event performance and attendees’ satisfaction. A total of 250 attendees served as a sample of this study using the convenience sampling method. Pearson correlation was used to analyze the simple relationships between the dimensions of event performance and satisfaction. The results show that there is a significant relationship between event performance and attendees satisfaction. Regression analysis was used to identify which dimension influence the satisfaction. Based on the findings, it was found that all three dimensions of event performance significantly influence the satisfaction. This finding therefore will help event organizers in improving the quality and performance in event industry.
Trust Blueprints and Use Cases

—As the scope of current distributed computing model envisioned by the contemporary cloud computing environment enlarges to future federated Intercloud and ubiquitous and pervasive computing models such as Internet of Things (IoT), many difficult problems and challenges arise. Security is one of the most important concerns of such a computing environment. Current security mechanisms are very static, inflexible and not granular enough to make efficient and informed decisions in the Service Provider based computing environment. The conventional trust mechanisms in place are inadequate at addressing granular level trust issues in the highly distributed open environments. In this paper, we explore various Trust Management schemes and blueprints for enabling a framework that interested parties can use to determine the trustworthiness of disparate and heterogeneous computing entities. The paper also enumerates various business use case scenarios articulating how such a Trust Management framework would be invaluable for addressing the current as well as future computing environments needs.
Performance of Solar Air Collector-Thermoelectric Hybrid System

Solar collectors are technologies which using sunlight to collect heat energy. In this study, solar air collector-thermoelectric hybrid systemis designed and constructed. Performance testing is conducted in the lab. The size of this hybrid system is 97.5 × 59 × 12 cm. The manipulating factor is the mass flow rate which is fixed at 0.033, 0.0385, 0.044, 0.0495 and0.055 kg/s. The intensity of solar radiation is set at 700 W/m2. Maximum temperature change (To -Ti) reaches 7.5 °C while maximum temperature change (Tback - Thollow) reaches 16.7 °C. Maximum thermal efficiency of this hybrid system reaches 79.0% at the highest mass flow rate of 0.055 kg/s. The maximum electrical efficiency reaches 5.3% at the lowest mass flow rate of 0.033 kg/s. Maximum overall efficiency reaches 79% at the highest mass flow rate. The hybrid system has better thermal efficiency than a stand-alone solar air collector. Due to the increased overall efficiency, the proposed hybrid system is anticipated to promote wider application of thermoelectric hybrid system.
Social representations associated with HIV/AIDS in Colombian university students

Resumen El objetivo de esta investigacion fue comprender las representaciones sociales asociadas al VIH y al Sida en un grupo de adolescentes y jovenes universitarios colombianos. Para ello, se realizo un estudio cualitativo de diseno fenomenologico interpretativo en el que participaron 18 estudiantes universitarios. Las tecnicas de recoleccion empleadas fueron las redes semanticas naturales (RSN) y los grupos de discusion. Las narrativas evidenciaron que existe desconocimiento sobre aspectos generales del VIH y del Sida. Tambien dieron cuenta de la creencia de que el riesgo de contraer VIH recae unicamente en grupos etiquetados en riesgo. Se identificaron, ademas, actitudes que denotan estigma hacia personas con la enfermedad. Los pares, los padres, la familia y el internet se reportaron como los principales agentes de socializacion sobre la enfermedad. En conclusion, se destaca la necesidad de empoderar a los diferentes agentes de socializacion y de fortalecer los procesos educativos desde el reconocimiento de los derechos humanos de todas las personas. Se requiere, por tanto, un trabajo articulado, integral y transversal de los diferentes agentes, no solo para la deconstruccion de las creencias y actitudes negativas hacia la enfermedad, sino para la construccion de una sexualidad responsable y saludable que este centrada en el autocuidado.
Implementasi Sistem Informasi Administrasi Kependudukan dalam Pengurusan Kartu Tanda Penduduk Elektronik

This research has been deceived by the importance of implementation of a of a government policy on the residency administrative information system (SIAK) about handling KTP-El has succeeded or did not succceed by reviewing the implementation of government policy which is based on the law of Indonesian RI country Number 24 in 2013 about The Administration of Residency. This study is meant to know how SIAK is implementation in the handling KTP-El and to find out what constraints are in the process. The methods are used in this research’s qualitative methods with the descriptive approach. The data collecting technique was carried out in this research through two ways, among others through secondary data (books, scientific papers, documents/archives) and obtained from field, observation and interview). From the research result it can be seen that the implementation of SIAK about the management of KTP-El has not been maximal, because there are still some obstacles and not yet have Special Regulation in the district office of Medan Baru Medan city, so there is still much need to be addressed. It is reviewed from 4 models of policy implementation according to Edward III, ie communication, disposition/attitude, resources, and bureaucratic structure. In this study, researchers also gain a new understanding that in the implementation of SIAK on the management of KTP-El good state service but it would be good apparatus not only run the activities of population administration, but also need to pay attention and care to public needs.
The Correlation Between Prospective Teachers' Level Of Hopelessness And Attitude Towards Teaching Profession

This research aims to determine the correlation between prospective teachers’ level of hopelessness and attitude towards teaching profession. The research population consists of 650 4th –grade students and the sampling group consists of 300 students determined by simple random sampling method. “Personal Information Form”, “Beck Hopelessness Scale” and “Attitude towards Teaching Profession Scale” are used for data collection. Descriptive statistics such as the arithmetic mean and standard deviation, T-test, One-way MANOVA, Tukey HSD test and Spearman’s correlation analysis have been used for data analysis. Data analysis shows that prospective teachers have a low level of hopelessness and a high level of positive attitude towards teaching profession. Significant intergroup differences have been found in the dimension of hopelessness with respect to gender variable; in the dimensions of both hopelessness and attitude towards teaching profession with respect to program variable; in the dimensions of both hopelessness and attitude towards teaching profession with respect to the variable of the reason for the choice of profession and in the dimension of attitude towards teaching profession with respect to the variable of employment expectation. A moderate level of negative correlation has been found between hopelessness and the attitude towards teaching profession. Qualitative research methods are used in the research. Qualitative research methods could be used to reveal the factors leading to hopelessness. Correlations between the other factors in the school environment and the level of hopelessness could be investigated. As for application, teacher training and appointment system could be adjusted, and the student populations of teacher training institutions could be revised depending on the needs of the country.
USE OF HAND GESTURES THROUGH DIGITAL VIDEO TO IMPROVE PHONEMIC AWARENESS AMONG YEAR 2 PUPILS

Pupils need phonemic awareness so that they have the ability to manipulate the individual sounds in words. However, they sometimes focused more on reading comprehension rather than recognizing the letter sounds which build the words for reading. This action research was designed to improve the pupils’ phonemic awareness by using hand gestures through digital video and it involved three cycles. The participants involved were 24 Year 2 pupils from one of the primary schools in Malaysia. Three different data collection methods used were tests, pupils’ work and observation. The findings showed there was an improvement of mean scores from 40% in Test 1 to 91% in Test 2. The pupils’ oral exercises also improved from 52.14% to 96.07%. The results from the observation checklist and notes also showed they became more aware in learning English through their increased communication and active participation in the lesson. This shows that the technique was able to help pupils to learn and remember the sounds of phonemes as they could read the words correctly. It is suggested to carry out further research to develop the pupils’ skills in phonemic awareness through body movements in addition to hand gestures.
Evaluation of Islamic City Image in Kota Bharu Islamic City: A Pilot Study and an Early Finding

Kota Bharu was rebranded from Cultural city to Islamic city, hence the urban design of the city in the direction of creating a city image related to Islamic identity. The existing literature on city image shows some discrepancies in the Islamic image perceived among residents, but to date, no research has been conducted from the perspective of visitors. This study objective is to evaluate the perception of visitors on Kota Bharu Islamic city image. A quantitative self-reporting survey consists of 62 questions divided into ten categories was created based on the existing literature. The attributes were Natural Environment, Social Need and Human Comfort, Religious Identity, Tolerant, Layout, Elements of Jannah, Intellectual and Knowledge, Cleanliness, Economic System, and Safety Setting derived from Islamic Built Environment framework. This paper aims to explore small sample data (n=40). Hence, instrument validity, reliability, and normality of the data were examined through a panel of experts and also by analysing the data with the aid of SPSS software. The result showed that the instrument is reliable and the data for preliminary study exhibit reasonable normality. The initial research discovery shows that visitors perceive the Islamic city image of Kota Bharu positively, reflecting the city is now representing the identity of the Islamic city. Based on experience and pilot test results, positive results are expected in the actual investigations. This research has provided early findings which will be beneficial to the administrators, designers and researchers and the researcher itself before conducting the actual full-scale study.
A Semantics for Attestation Protocols using Session Types in Coq

As our world becomes more connected, the average person must place more trust in cloud systems for everyday transactions. We rely on banks and credit card services to protect our money, hospitals to conceal and selectively disclose sensitive health information, and government agencies to protect our identity and uphold national security interests. However, establishing trust in remote systems is not a trivial task, especially in the diverse, distributed ecosystem of todays networked computers. remote attestation is a mechanism for establishing trust in a remotely running system where an appraiser requests information from a target that can be used to evaluate its operational state. The target responds with evidence providing configuration information, run-time measurements, and authenticity meta-evidence used by the appraiser to determine if it trusts the target system. For remote attestation to be applied broadly, we must have attestation protocols that perform operations on a collection of applications, each of which must be measured differently. Verifying that these protocols behave as expected and accomplish their diverse attestation goals is a unique challenge. An important first step is to understand the structural properties and execution patterns they share. In this thesis I present a semantic framework for attestation protocol execution within the Coq verification environment including a protocol representation based on Session Types, a dependently typed model of perfect cryptography, and an operational execution semantics. The expressive power of dependent types constrains the structure of protocols and supports precise claims about their behavior. If we view attestation protocols as programming language expressions, we can borrow from standard language semantics techniques to model their execution. The proof framework ensures desirable properties of protocol execution that hold for all protocols. Within this framework, it is feasible to state and prove specialized properties such as authenticity and secrecy for individual protocols.
Emg Signal Classification Using Fuzzy Logic

Electromyography (EMG) signals are an important technique in the control applications of prostatic hand. These signals, which are measured from the skin surface, are used to perform movements such as wrist flexion / extension, forearm supination / pronation and hand opening / closing of prosthetic devices. In this study, root mean square, waveform length and kurtosis methods were applied to extracted EMG signals from flexor carpi radialis and extensor carpi radialis muscles by using two channel surface electrodes. A fuzzy logic based classification method has been applied to classify the extracted signal features. With this method, classification for different gripping movements has been successfully accomplished.
Compression of Hyperspectral Image using Compressive sensing

A novel approach for the compression of hyperspectral images is described using compressive sensing. It is adopted in latest signal processing technique for acquiring and recovering a sparse signal in the most efficient way. Compressive Sensing is based on sampling theorem which takes less samples for signal processing and gives batter performance than the traditional theoram. Hyperspectral images typically demand enormous computational resources in terms of storage, computation, input/output, throughputs particularly when real-time processing is desired. So, Compressive sensing is best approach for compression of hyperspectral images and transforming to different places with acceptable signal –to –noise ratio (SNR) and compression ratio (CR) than other signal transformation techniques. At reconstruction time of images in compression process if sparse dictionary, OMP algorithm and L*a*b* color space is used with compressive sensing then quality of reconstructed image can be improved and color image is generated.
Wireless device connection problems and design solutions

Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-Design method and studies the non-expert users’ interactions in establishing wireless connections between devices. The “Learning from Examples” concept is adopted to develop a study focus line by learning from the expert users’ interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users’ difficulties at each stage of the focus line. Finally, the Research-through-Design approach is used to understand the users’ difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device's functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.