Miracle-dz/UniFAR-FTUs huggingface dataset:
’ Introduction : Special Issue on Data Mining E

Focus & Scope: The Internetworking Indonesia Journal aims to become the foremost publication for practitioners, teachers, researchers and policy makers to share their knowledge and experience in the design, development, implementation, and the management of ICT and the Internet in Indonesia. Topics of Interest: The journal welcomes and strongly encourages submissions based on interdisciplinary approaches focusing on ICT & Internet development and its related aspects in the Indonesian context. These include (but not limited to) information technology, communications technology, computer sciences, electrical engineering, and the broader social studies regarding ICT and Internet development in Indonesia. A list of topics can be found on the journal website at www.InternetworkingIndonesia.org. Open Access Publication Policy: The Internetworking Indonesia Journal provides open access to all of its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This follows the philosophy of the Open Journal Systems (see the Public Knowledge Project at pkp.sfu.ca). The journal will be published electronically and there are no subscription fees. Such access is associated with increased readership and increased citation of an author's work. Manuscript Submission: Manuscripts should be submitted according to the IEEE Guide for authors, and will be refereed in the standard way. Manuscript pages should not exceed 7 pages of the IEEE 2-column format in a Microsoft-Word file format. Links to the IEEE style files can be found at www.InternetworkingIndonesia.org. Manuscripts submitted to Internetworking Indonesia must not have been previously published or committed to another publisher under a copyright transfer agreement, and must not be under consideration by another journal. Authors of accepted papers are responsible for the Camera Ready Copy (CRC) in the IEEE 2-column format (delivered to the Editor in a Microsoft-Word file). Authors are advised that no revisions of the manuscript can be made after acceptance by the Editor for publication. The benefits of this procedure are many, with speed and accuracy being the most obvious. We look forward to working with your electronic submission which will allow us to serve you more efficiently. Please email manuscripts or inquiries to the editors at the following address: editor@InternetworkingIndonesia.org. Submission Guidelines: Internetworking Indonesia accepts a variety of manuscripts in either English or Bahasa Indonesia. Please review the descriptions below and identify the submission type best suited to your intended submission: Research Papers • : Research papers report on results emanating from research projects, both theoretical and …
A Cognitive Dissonance Perspective of Customers' Online Trust in Multi-Channel Retailers

Although multi-channel retailers can leverage on offline advantages for their online sales, it has been challenging for them to attract customers to make repeated online purchases. This can be attributed to the development of online trust which has long been cited as central for customers to continually make online purchases from retailers. Even though online trust has been extensively studied in marketing and MIS literature, research efforts generally focus on pure online retailers and there has been no research to investigate the development of online trust in multi-channel retailers during the postpurchase phase. After making initial online purchases from the multi-channel retailer, customers are likely to encounter or even search for information sources (social contacts and online reviews) that may be dissonant with their own online purchasing experiences, causing them to reevaluate their online trust. Hence, this paper addresses the following research question: How do customers jointly evaluate post-purchase information sources and their own online purchasing experiences to reformulate online trust? Since multi-channel retailers have offline and online channels of sales to their customers, we are also interested to investigate: How do customers evaluate their offline and online purchasing experiences to reformulate online trust during the post-purchase phase? This paper draws on the cognitive dissonance theory to present a model of online trust development in multichannel retailers during the post-purchase phase.
O(1) time sorting algorithms using spiking neurons

This paper presents the design and implementation of two spiking neural network based sorting algorithms with time complexity of O(1). These algorithms are inspired from artificial neural network based sorting algorithms. A number comparator circuit using spiking network as a building block has been proposed and been used in the sorting algorithms to compare numbers. This comparator circuit is generic and can be used in other algorithms. Results show that both these algorithms take constant time to sort any count of numbers once the circuit is setup with sufficient input lines and input sequence of numbers is configured in the network.
SPIRITUAL AWAKENING LEADING TO A SEARCH FOR MEANING THROUGH TRAVEL

Arguably, all people are spiritual. We will, at different stages, seek meaning and connection, and seek transcendence through self-improvement. Often, this personal quest will begin or resume, or be addressed more fervently after a personal event that leads to an awakening of one’s spirituality. This paper considers how transformative life experiences lead people to engage their spiritual side, and specifically how they may seek to do so through their experience of travel. Through 18 months of in-depth phenomenological data collection, this paper analyses the personal narratives of 11 tourists who experienced volunteer tourism after experiencing life events that facilitated a spiritual awakening. This paper finds that experiences such as the death of a close family member, the facing of mortality, or existential crisis can lead to a motivation to travel, and that travel can be deeply spiritual. It posits the question: In the year 2017, with great global and personal uncertainty, is the desire for spiritual growth through travel becoming more mainstream and urgent?
2nd International Workshop on Ontologies and Information Systems

Technological innovations in the area of wireless s ensor networks, which allow for features like spontaneous networkin g and self-organization, are enablers for new kinds of IT services in many appli cation domains. In order to fully exploit the potential of these technologies v arious industries show examples for innovations on the level of service management as well as with respect to the underlying business models. Based on a case study fr om t ansportation, this paper shows how ontologies can be used as the basis for new types of IT services. The focus during ontology development in this context is on creating an adaptable knowledge base for different kinds of ser vic s and to prepare for selforganization of the overall solution. The contribut ons of this paper are (a) an ontology for the field of information logistics ser vices in transportation, (b) experiences from the development process based on a real-world scenario and, (c) potentials and limits of the ontology to accomm odate features required for self-organization.
Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) is a widely used method for blind spectral unmixing (SU), which aims at obtaining the endmembers and corresponding fractional abundances, knowing only the collected mixing spectral data. It is noted that the abundance may be sparse (i.e., the endmembers may be with sparse distributions) and sparse NMF tends to lead to a unique result, so it is intuitive and meaningful to constrain NMF with sparseness for solving SU. However, due to the abundance sum-to-one constraint in SU, the traditional sparseness measured by L0/L1-norm is not an effective constraint any more. A novel measure (termed as S-measure) of sparseness using higher order norms of the signal vector is proposed in this paper. It features the physical significance. By using the S-measure constraint (SMC), a gradient-based sparse NMF algorithm (termed as NMF-SMC) is proposed for solving the SU problem, where the learning rate is adaptively selected, and the endmembers and abundances are simultaneously estimated. In the proposed NMF-SMC, there is no pure index assumption and no need to know the exact sparseness degree of the abundance in prior. Yet, it does not require the preprocessing of dimension reduction in which some useful information may be lost. Experiments based on synthetic mixtures and real-world images collected by AVIRIS and HYDICE sensors are performed to evaluate the validity of the proposed method.
Rv3133c/dosR is a transcription factor that mediates the hypoxic response of Mycobacterium tuberculosis

Unlike many pathogens that are overtly harmful to their hosts, Mycobacterium tuberculosis can persist for years within humans in a clinically latent state. Latency is often linked to hypoxic conditions within the host. Among M. tuberculosis genes induced by hypoxia is a putative transcription factor, Rv3133c/DosR. We performed targeted disruption of this locus followed by transcriptome analysis of wild‐type and mutant bacilli. Nearly all the genes powerfully regulated by hypoxia require Rv3133c/DosR for their induction. Computer analysis identified a consensus motif, a variant of which is located upstream of nearly all M. tuberculosis genes rapidly induced by hypoxia. Further, Rv3133c/DosR binds to the two copies of this motif upstream of the hypoxic response gene alpha‐crystallin. Mutations within the binding sites abolish both Rv3133c/DosR binding as well as hypoxic induction of a downstream reporter gene. Also, mutation experiments with Rv3133c/DosR confirmed sequence‐based predictions that the C‐terminus is responsible for DNA binding and that the aspartate at position 54 is essential for function. Together, these results demonstrate that Rv3133c/DosR is a transcription factor of the two‐component response regulator class, and that it is the primary mediator of a hypoxic signal within M. tuberculosis.
A QoE-orientated base station sleeping strategy for multi-services in cellular networks

Energy efficiency and green communication have been a hot research topic in ICT industry recently. For cellular networks, the energy cost of base stations (BSs) makes a huge proportion of the total cost. This paper concentrates on finding an approach to shut down BSs with low traffic load from active mode to sleeping mode. QoE, instead of QoS, is guaranteed in this paper. Since different service types result in different QoEs, this paper takes three typical services into account: voice call, file downloading and video streaming. A dynamic programming switching algorithm is proposed to decide the switching strategy. To reduce the algorithm's state space, several approximations are made based on the idea of “equivalent state”. Simulation results demonstrate the high performance of this algorithm.
Modelling and Analysis of the Bounded-Retransmission Protocol: Experience with Discrete Time in the LTSA

The Bounded Retransmission Protocol is an industrial protocol designed for the transfer of large data files over unreliable communication lines. The protocol relies on specific assumptions on the timed behaviour of its components. This paper describes our experience with modelling and analysing the Bounded Retransmission Protocol using the LTSA. The LTSA uses labelled transition systems to specify behaviour, and compositional reachability analysis to incrementally generate, minimise, and analyse a system, based on its software architecture. The tool was not originally designed to deal with real-time applications. However, by modelling time as a discrete entity, the LTSA does not need to be extended in order to handle such systems. We discuss how the features of the tool can be exploited to model and analyse behaviours that involve time.
Code synchronization by morphological analysis

Reverse-engineering malware code is a difficult task, usually full of the traps put by the malware writers. Since the quality of defense softwares depends largely on the analysis of the malware, it becomes crucial to help the software investigators with automatic tools. We describe and present a tool which synchronizes two related binary programs. Our tool finds some common machine instructions between two programs and may display the correspondence instruction by instruction in IDA. Experiments were performed on many malware such as stuxnet, duqu, sality or waledac. We have rediscovered some of the links between duqu and stuxnet, and we point out OpenSSL's use within waledac.
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis

We consider the off-policy evaluation problem in Markov decision processes with function approximation. We propose a generalization of the recently introduced emphatic temporal differences (ETD) algorithm, which encompasses the original ETD(λ), as well as several other off-policy evaluation algorithms as special cases. We call this framework ETD(λ, β), where our introduced parameter β controls the decay rate of an importance-sampling term. We study conditions under which the projected fixed-point equation underlying ETD(λ, β) involves a contraction operator, allowing us to present the first asymptotic error bounds (bias) for ETD(λ, β). Our results show that the original ETD algorithm always involves a contraction operator, and its bias is bounded. Moreover, by controlling β, our proposed generalization allows trading-off bias for variance reduction, thereby achieving a lower total error.
A New Method for Optimizing Fuzzy Membership Function

The successfulness of fuzzy application depends on a number of parameters, such as fuzzy membership functions, that are usually decided upon subjectively. In this paper, we propose a new method utilizing ant colony algorithm (ACA) to optimize the fuzzy membership function's parameters, which overcoming the subjectivity and blindness in the process of designing the input or output membership functions. The fuzzy controller, which is optimized by ACA, is applied to a second order model and the simulation results shown a better result.
Impact of early intervention for youth with problematic sexual behaviors and their caregivers

ABSTRACT Targeting broad implementation of early intervention services has a high potential for impact given the prevalence of child sexual abuse committed by youth and the low recidivism rate following effective interventions. This multisite quasi-experimental study examined the outcomes for 320 youth ages 10–14 years and their caregivers who participated in community-based problematic sexual behavior – cognitive behavior therapy (PSB-CBT). Significant reductions in PSB with a large effect size (e.g. t(126) = 11.69, p < . 001, d = 2.08) were found. No site differences were found, despite racial and regional diversity. Nonsexual behaviour problems, emotional problems, and trauma symptoms also significantly improved. Positive outcomes extended to caregivers. Recommended next steps include rigorous strategies for examining the impact of widespread implementation of evidence-based early intervention programmes on the prevention of sexual abuse, complemented with thoughtful efforts to develop and implement policies and procedures that improve the safety and well-being of all children in the community.
Neighborhood Press and Immigration

This research studied the way immigration is depicted by the neighborhood press of Barcelona. Mainstream media tend to give visibility to immigrants when problems arise. Through this visibility based on problems, and the processes of framing, a virtual social identity is constructed and given to the immigration population. However, the neighborhood press of Barcelona, inscribed within the Catalan regional press’ own idea of journalism, offers a different approach to this issue due to its history, neighborhood and commitment to the region. Through a frame analysis, three main frames gave a depiction of the immigrants different from the one the mainstream media use. The results show that this differentiated depiction still stereotypes immigrants while not granting them enough visibility even when there is no blaming or attack. In this sense, while accounting for the differences, the neighborhood press of Barcelona misses a chance of depicting immigration in a more accurate way.
Energy-Efficient Scheduling Scheme for Virtual Machines in Cloud Computing

A Cloud Computing is subscription-based service where we obtain networked storage space and computer resources. Technologies such as cluster, grid, and now cloud computing are decide allowing access large amounts computing power in fully, para-virtulized manner by amassed resources i.e. virtual machines to consumer. Cloud computing denotes energy efficiency in all components of computing systems that is hardware, software, local area network. Energy computing has to achieve manifold objectives of energy consumption and utilization improvement for computing paradigm that are not pay-per-use such as cluster and grid revenue maximization as another metric for cloud computing architecture. Microsoft Corporation provides Joule meter tool to measuring energy of computing software devices, for researcher to observe energy conservation and consumption [10],[14]. This paper we proposed Energy-Efficient Scheduling Scheme call EESS for virtual machines that distribute maximum workload on minimum number of virtual machine’s so less amount of energy consume, to test the scheme cloud environment created using VirtualBox. General Terms Cloud Computing, Scheduler,
Optimizing Memory Translation Emulation in Full System Emulators

The emulation speed of a full system emulator (FSE) determines its usefulness. This work quantitatively measures where time is spent in QEMU [Bellard 2005], an industrial-strength FSE. The analysis finds that memory emulation is one of the most heavily exercised emulator components. For workloads studied, 38.1% of the emulation time is spent in memory emulation on average, even though QEMU implements a software translation lookaside buffer (STLB) to accelerate dynamic address translation. Despite the amount of time spent in memory emulation, there has been no study on how to further improve its speed. This work analyzes where time is spent in memory emulation and studies the performance impact of a number of STLB optimizations. Although there are several performance optimization techniques for hardware TLBs, this work finds that the trade-offs with an STLB are quite different compared to those with hardware TLBs. As a result, not all hardware TLB performance optimization techniques are applicable to STLBs and vice versa. The evaluated STLB optimizations target STLB lookups, as well as refills, and result in an average emulator performance improvement of 24.4% over the baseline.
A Competitive Mean-Squared Error Approach to Beamforming

We treat the problem of beamforming for signal estimation where the goal is to estimate a signal amplitude from a set of array observations. Conventional beamforming methods typically aim at maximizing the signal-to-interference-plus-noise ratio (SINR). However, this does not guarantee a small mean-squared error (MSE), so that on average the resulting signal estimate can be far from the true signal. Here, we consider strategies that attempt to minimize the MSE between the estimated and unknown signal waveforms. The methods we suggest all maximize the SINR but at the same time are designed to have good MSE performance. Since the MSE depends on the signal power, which is unknown, we develop competitive beamforming approaches that minimize a robust MSE measure. Two design strategies are proposed: minimax MSE and minimax regret. We demonstrate through numerical examples that the suggested minimax beamformers can outperform several existing standard and robust methods, over a wide range of signal-to-noise ratio (SNR) values. Finally, we apply our techniques to subband beamforming and illustrate their advantage in estimating a wideband signal.
Cascade framework for task-space synchronization of networked robots with uncertain kinematics and dynamics

In this paper, we investigate the task-space synchronization for networked robots on strongly connected graphs with both the uncertain kinematics and dynamics. A cascade framework is proposed to facilitate the synchronization controller design. Under this framework, we propose an adaptive task-space synchronization scheme with an indirect kinematic parameter adaptation and a direct dynamic parameter adaptation for the networked robots. Passivity decomposition transformation is adopted to show the synchronization of the networked robotic systems. Simulation results are provided to demonstrate the performance of the proposed adaptive networked controller.
The network dependency of religious and secular belief

This thesis develops and tests a social network theory of religion to explain the phenomena of religious and secular beliefs in the general population in contemporary Britain. Drawing upon the writings of several historians and upon the work of Giddens (1994a, 1994b), the study is placed in the theoretical context of the debate about the nature of modernity. Due to the various processes of modernization it is argued that personal network links between church attenders and non-church attenders have gradually been severed since pre-modern times. The immediate consequences of this development are twofold. First, the transmission of church religion is greatly restricted. Second, personal overarching religious, or indeed secular, world views are now likely to be formulated, maintained, modified and transmitted by individuals within discrete and geographically dispersed social networks within the private sphere. On the basis of this argument a network dependency hypothesis was formulated, from which twenty-two testable propositions were derived. By employing ego-centred network analysis, the empirical dimension of this thesis reports the testing of each of these propositions against data obtained from a quantitative 500 questionnaire survey of a middle class suburb in the south of England, followed by 39 qualitative focused interviews with informants selected from the initial survey. The data showed that responses to the process of primary socialization had a profound effect on the initial belief formation of ego. This provided a foundation both for religious or secular belief in later life and for the future selection of network alters. With the exception of conversionists, these beliefs generally continued to be maintained by ego within ego's current network. At all stages ego demonstrated a need to reduce cognitive dissonance and to pursue cognitive consonance (Festinger, 1985). The local community did not constitute a plausibility structure and even the local church did not perform this function. Only discrete, dispersed, personal networks in the private sphere functioned to maintain the plausibility of religious and secular beliefs. The findings constituted overwhelming support for the network dependency hypothesis.