Custom Implementation Research Articles

Headphone-based immersive audio for virtual reality headsets

In this paper, we propose a binaural system for virtual auditory space synthesis and reproduction. We introduce a subjective listening test for head-related transfer function (HRTF) customization and real-time implementation of ambisonic surround sound over headphones. In this test, a listener first selects the closest-matching HRTF dataset from an existing database. The selected HRTF dataset must fulfill the criteria of front-back discrimination and up-down discrimination. Secondly, the selected HRTF dataset is utilized to build a binaural ambisonic system composed of an encoder for synthesizing multiple sound sources, an image-source model for listening-room simulation, an ambisonic rotator responding to head motion in three axes, and a binaural ambisonic decoder. Additionally, we propose a system optimization technique that minimizes computational cost and enhances audio quality. Finally, we present both subjective and objective measurements of the perceived audio quality that were conducted to validate this approach. The audio quality assessment examined the frequency hearing impairment, localization error, and localization blur. The proposed system is especially suitable for mixing and rendering immersive sound in virtual reality.

IMPLEMENTASI PRINSIP MENGENAL NASABAH (KNOW YOUR CUSTOMER) SERTA PENGARUHNYA TERHADAP TINDAK PENCUCIAN UANG (MONEY LAUNDERING) DAN KINERJA KEUANGAN PADA LEMBAGA PERBANKAN

The purpose of this paper is to examine the effect of the implementation of Know Your Customer to the banks financial performance. Quantitaive description analysis was used to evaluate the answers of 26 respondents from a questionnaire. Descriptive statistic shows that 60%-70% respondents agreed that there is an effect from the implementation of KYC against money laundering action and financial performance of financial institution.However regression analysis shows that there is no significant effect between implementation of KYC and financial performance of financial institution. Keywords: Money Laundering, Know Your Customer, Fiancial Performance

Design and implementation of a custom targeted next-generation sequencing panel in a series of primary melanomas

Design and implementation of a custom targeted next-generation sequencing panel in a series of primary melanomas

An Ultralow-Power Sleep Spindle Detection System on Chip.

This paper describes a full system-on-chip to automatically detect sleep spindle events from scalp EEG signals. These events, which are known to play an important role on memory consolidation during sleep, are also characteristic of a number of neurological diseases. The operation of the system is based on a previously reported algorithm, which used the Teager energy operator, together with the Spectral Edge Frequency (SEF50) achieving more than 70% sensitivity and 98% specificity. The algorithm is now converted into a hardware analog based customized implementation in order to achieve extremely low levels of power. Experimental results prove that the system, which is fabricated in a 0.18 μm CMOS technology, is able to operate from a 1.25 V power supply consuming only 515 nW, with an accuracy that is comparable to its software counterpart.

GPU accelerated implementation of NCI calculations using promolecular density.

The NCI approach is a modern tool to reveal chemical noncovalent interactions. It is particularly attractive to describe ligand-protein binding. A custom implementation for NCI using promolecular density is presented. It is designed to leverage the computational power of NVIDIA graphics processing unit (GPU) accelerators through the CUDA programming model. The code performances of three versions are examined on a test set of 144 systems. NCI calculations are particularly well suited to the GPU architecture, which reduces drastically the computational time. On a single compute node, the dual-GPU version leads to a 39-fold improvement for the biggest instance compared to the optimal OpenMP parallel run (C code, icc compiler) with 16 CPU cores. Energy consumption measurements carried out on both CPU and GPU NCI tests show that the GPU approach provides substantial energy savings. © 2017 Wiley Periodicals, Inc.

Radiation effects in reconfigurable FPGAs

Field-programmable gate arrays (FPGAs) are co-processing hardware used in image and signal processing. FPGA are programmed with custom implementations of an algorithm. These algorithms are highly parallel hardware designs that are faster than software implementations. This flexibility and speed has made FPGAs attractive for many space programs that need in situ, high-speed signal processing for data categorization and data compression. Most commercial FPGAs are affected by the space radiation environment, though. Problems with TID has restricted the use of flash-based FPGAs. Static random access memory based FPGAs must be mitigated to suppress errors from single-event upsets. This paper provides a review of radiation effects issues in reconfigurable FPGAs and discusses methods for mitigating these problems. With careful design it is possible to use these components effectively and resiliently.

Learning discriminative relational features for sequence labeling

Learning discriminative relational features for sequence labeling

A method for product platform planning based on pruning analysis and attribute matching

Product platform planning can greatly support product variant design, which is of great help to the implementation of mass customization (MC). In most of product platform planning methods, product modules and product families have been usually preplanned before products are designed, which would not make full use of the existing product resources. In this paper, we propose a method for product platform planning using the existing product data in product lifecycle management (PLM) database. The proposed method introduces two key technologies, i.e., pruning analysis and attribute matching. The pruning analysis is used to find out the sharing parts of different product families, which constitutes the basic framework of product platform; the attribute matching is used to classify product modules into different categories according to their sharing degrees, which reveals the relationships of different product modules and forms the association rules of product platform. The effectiveness of the proposed method is verified by the product data in the PLM database of a valve company. The proposed method greatly improves the reuse rate of existing product resources, providing an effective and fast way for enterprises to implement the MC strategy.

Pose Estimation for Spacecraft Relative Navigation Using Model-Based Algorithms

This paper presents the performance assessment of innovative model-based algorithms developed for pose estimation of uncooperative targets by processing sparse three-dimensional point clouds. This topic is of interest in the framework of advanced space applications, e.g., on-orbit servicing and active debris removal, which require a chaser spacecraft to execute autonomous relative navigation maneuvers in close-proximity of a space target. Both the problems of pose acquisition and tracking are addressed. The former one is carried out by combining the concepts of principal component analysis and template matching in order to limit both the computational effort and the amount of on-board data storage compared with traditional approaches. The latter is entrusted to a customized implementation of the iterative closest point algorithm, which adopts multiple model-measurement matching strategies as well as a refinement step, in order to respectively increase robustness and accelerate algorithm convergence. Also, safe transition from acquisition to tracking is implemented by means of autonomous detection of failures of the pose acquisition algorithm. The performance of the proposed techniques is investigated by means of numerical simulations in which the operation of an active LIDAR system as well as the target-chaser relative dynamics are realistically reproduced. Results demonstrate algorithms' effectiveness over a wide range of relative pose conditions and dealing with targets of variable size and shape, in spite of considerable sparseness of the measured datasets.

Hotel Customized Product Design and Implementation Based on Intelligent Hardware Devices

Hotel Customized Product Design and Implementation Based on Intelligent Hardware Devices

Structuring and implementing a customer service center for telecommunications SMEs in Colombia

This document proposes the implementation of a care center customer for small and medium-sized enterprises (SMEs) in Colombia as a new business plan. The methodology begins with the study of the current situation of the company, identifying the problem (customer dissatisfaction with company response in Colombia). Later, multiple studies were conducted including general environment analysis and the marketing plan, to finally establish the possibility of consolidating this expansion opportunity within a company. The results suggest that the business model developed is viable because it generates economic benefits for businesses. The main conclusion is that implementing the Contact Center for companies, in addition to being necessary, is feasible and increases productivity.

An examination of effectiveness of demand pull practices for accomplishing sustainable development in manufacturing industries

The main objective of study is to estimate and extract various significant Demand Pull (DP) practices influencing Sustainable Development in Indian manufacturing industries. The study critically examines the effectiveness of DP strategies in manufacturing enterprises. An extensive survey of 92 companies has been executed for this study, to identify improvements made by DP practices to achieve sustainable development in manufacturing industries. The companies in the survey include medium- and large-scale manufacturing enterprises. The correlations between various DP practices and sustainable development parameters are evaluated and validated using various numerical methods and tools. The focus of the paper is on the distinguishable contributions made by DP practices like stringent implementation of government regulations, transforming capabilities, unionized labor and customer attributes towards achieving sustainable development in manufacturing industries. The inter-relationships between different DP practices with sustainable development parameters have been evaluated, to efficiently manage the objectives of sustainability and growth. However, it is also acknowledged that manufacturing enterprises need to work more actively on managing certain practices of DP. In the present study the contributions of DP practices are investigated to accomplish sustainable development in manufacturing industries. Though, issue-wise independent examination can also be organized to compute the effectiveness of DP strategies towards achieving sustainable development and quality under specific orientations. The research gives priority to enhancement in planning among various DP practices and sustainable development indicators in the industries, to impart DP as an important practice to meet the challenges of competent markets worldwide. It has been exhibited from the observations that adequate DP strategies can efficiently contribute towards recognition of sustainable development to compete in the highly progressive global market. The results of various inter-relationships among DP practices and sustainable development parameters represent the effectiveness of DP practices for accomplishment of social as well as organizational objectives. The paper examines that DP practices are significant initiatives employed by the manufacturing organizations for performance improvement and sustainable development. The paper peeks into the study to find out DP issues that need to be assessed efficiently by companies to avail the benefits of sustainable development to meet the challenges posed by international markets.

Value based PSO Test Case Prioritization Algorithm

Regression testing is performed to see if any changes introduced in software will not affect the rest of functional software parts. It is inefficient to re-execute all test cases every time the changes are made. In this regard test cases are prioritized by following some criteria to perform efficient testing while meeting limited testing resources. In our research we have proposed value based particle swarm intelligence algorithm for test case prioritization. The aim of our research is to detect maximum faults earlier in testing life cycle. We have introduced the combination of six prioritization factors for prioritization. These factors are customer priority, Requirement volatility, implementation complexity, requirement traceability, execution time and fault impact of requirement. This combination of factors has not been used before for prioritization. A controlled experiment has been performed on three medium size projects and compared results with random prioritization technique. Results are analyzed with the help of average percentage of fault detection (APFD) metric. The obtained results showed our proposed algorithm as more efficient and robust for earlier rate of fault detection. Results are also revalidated by proposing our new validation equation and showed consistent improvement in our proposed algorithm.

Design and Implementation of Hadoop-based Customer Marketing Big Data Processing System

Design and Implementation of Hadoop-based Customer Marketing Big Data Processing System

Database Resources of the National Center for Biotechnology Information.

The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed database of citations and abstracts for published life science journals. The Entrez system provides search and retrieval operations for most of these data from 37 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. New resources released in the past year include iCn3D, MutaBind, and the Antimicrobial Resistance Gene Reference Database; and resources that were updated in the past year include My Bibliography, SciENcv, the Pathogen Detection Project, Assembly, Genome, the Genome Data Viewer, BLAST and PubChem. All of these resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.

Tecnologia de informação e customização em massa: evidências na indústria de transformação

Estratégia de customização em massa pode ser entendida como o conjunto de planos que irá servir de referência para a tomada de decisões, no sentido de satisfazer às necessidades individuais dos clientes, por meio da rápida disponibilização de bens e serviços, a custos baixos e em grande escala. O objetivo deste artigo é analisar como a tecnologia de informação está sendo utilizada para habilitar a adoção da customização em massa. A estratégia de pesquisa adotada foi de estudo de casos múltiplos, empreendido em sete empresas pertencentes a diferentes setores da indústria de transformação. Entrevistas semiestruturadas foram adotadas como principal técnica para coleta de dados. A análise de dados ocorreu em dois estágios: análise individual e análise cruzada dos casos. Os resultados permitiram constatar que o uso da tecnologia de informação nos processos das empresas que customizam seus produtos em massa não se dá de maneira uniforme. Seu grau de utilização depende, principalmente, do estágio na cadeia de valor onde ocorre a customização e do modelo adotado para venda dos produtos e interação com os clientes. A pesquisa permitiu concluir que a interação e o acompanhamento do cliente, a busca pela flexibilidade nos processos produtivos, a maximização do projeto colaborativo e, em menor grau de utilização, a integração entre os elos da cadeia de suprimentos, são elementos suportados pela tecnologia de informação para a implementação da customização em massa.

PERENCANAAN PENGEMBANGAN SUBSEKTOR PETERNAKAN DALAM UPAYA PENINGKATAN PEREKONOMIAN DI KABUPATEN SUMBA TIMUR

ABSTRACTThe implementation of regional autonomy aims to optimize its resources so that the community welfare and employment increased accompanied by equitable distribution of the fruits of development. In East Sumba district, one of the potential sectors are agriculture, particularly in the livestock sector. However, management at livestock subsector still experiencing various obstacles, so that development objectives have not been fully achieved. The purpose of this study is to (1) analyzing the potential and role of the livestock sector to the economic development in East Sumba district, and (2) formulating alternative development strategy of the livestock sector in order to boost the economy in East Sumba District. The analysis tool used is LQ (Location Quotient), SSA (Shift Share Analysis), and analysis of SWOT (Strength, Weakness, Opportunity, Threat). The results of this study indicate that the livestock sector is able to contribute or role for the economy as seen from its ability to meet the growing demand from both inside and outside the territory of East Sumba district. Strategy development of the livestock subsector in East Sumba district are: (1) the provision of infrastructure (roads into the center of the product of the livestock, electricity, water, and financial institutions, (2) the procurement of feed industry and processing of livestock, and (3) enforcement of the rules (laws and customs) pertaining to the establishment of development centers, management of communal land, livestock inter-island trade and other supporting institutions. Therefore, (i) intensification of livestock raising is required to provide adequate food and promoting the availability of infrastructure for the survival of farms, (ii) required formal enforcement (enforcement problem of theft of livestock) andinformal (restriction of the number of animals in a custom implementation of activities) to support the development of livestock for improving the welfare of society.

ANALISIS HUKUM PENERAPAN ANTI PENCUCIAN UANG TERHADAP KEBIJAKAN RAHASIA BANK

This article discusses money laundering and the implementation of Customer Due Diligence (CDD) which is to be understood as part of the effort to eradicate this particular crime. Money laundering is not an autonomous crime but is always related or stems from an original crime (predicate crime). This crime is committed habitually using financial institution or banks as its instrument. One factor making this possible is the obligation of bank to guard and maintain customer’s trust by virtue of bank’s secrecy. Nonetheless, this bank secrecy can be waived. By virtue of CDD, banks are under the obligation to implement a process of customer identification, including verification- monitoring of customers financial transaction or activities. In the case, they detect suspicious financial transactions the banks are under the obligation to report their findings to the Indonesian Financial Transaction Reports and Analysis Centre (INTRAC) and/or law enforcement officers Keywords: money laundering, bank, customer due diligence, anti-money laundering program and bank secrecy

ANALISIS HUKUM PENERAPAN ANTI PENCUCIAN UANG TERHADAP KEBIJAKAN RAHASIA BANK

<p><em>This article discusses money laundering and the implementation of Customer Due Diligence (CDD) which is to be understood as part of the effort to eradicate this particular crime. Money laundering is not an autonomous crime but is always related or stems from an original crime (predicate crime). This crime is committed habitually using financial institution or banks as its instrument. One factor making this possible is the obligation of bank to guard and maintain customer’s trust by virtue of bank’s secrecy. Nonetheless, this bank secrecy can be waived. By virtue of CDD, banks are under the obligation to implement a process of customer identification, including verification- monitoring of customers financial transaction or activities. In the case, they detect suspicious financial transactions the banks are under the obligation to report their findings to the Indonesian Financial Transaction Reports and Analysis Centre (INTRAC) and/or law enforcement officers</em></p><p><em> </em></p><p align="right"><strong><em>Keywords: </em></strong></p><em>money laundering, bank, customer due diligence, anti-money laundering program and bank secrecy</em>

Customization methodology for implementation of streaming aggregation in embedded systems

Streaming aggregation is a fundamental operation in the area of stream processing and its implementation provides various challenges. Data flow management is traditionally performed by high performance computing systems. However, nowadays there is a trend of implementing streaming operators in low power embedded devices, due to the fact that they often provide increased performance per watt in comparison with traditional high performance systems. In this work, we present a methodology for the customization of streaming aggregation implemented in modern low power embedded devices. The methodology is based on design space exploration and provides a set of customized implementations that can be used by developers to perform trade-offs between throughput, latency, memory and energy consumption. We compare the proposed embedded system implementations of the streaming aggregation operator with the corresponding HPC and GPGPU implementations in terms of performance per watt. Our results show that the implementations based on low power embedded systems provide up to 54 and 14 times higher performance per watt than the corresponding Intel Xeon and Radeon HD 6450 implementations, respectively.