Since the 1980s, the single-core optical fiber cable has been the essential data transmission wiring media, with ongoing increases in deployments. Its use case has broadened, with transmission distances ranging from meters to 10000s km, including intrabuilding, fiber-to-the-home (FTTH), terrestrial, and even submarine trunk lines. Currently, optical fiber cable deployment is strongly driven by cloud-based storage, X as a Service (XaaS), and worldwide data center (DC) functionality with the optical interconnection of massive servers on DC campuses. Hence, it is quite natural that the optical fiber cable industry has developed ultrahigh fiber count, high density, and small diameter optical fiber cable, e.g., 6912-fiber-count cable. With high-density cables, massive data capacity can be installed at one time while saving limited space in an underground duct. High-density cable designs have been developed not just by cable structure optimization but through the process of bundling fibers and the use of high-grade optical fibers. Moreover, many enabling technologies have been developed to support the deployment of ultrahigh fiber count cables, such as fiber identification, connectors, mass fusion splicing, and storage systems for fusion splicing points. In this article, state-of-the-art technologies and prospects for ultrahigh-count and ultrahigh-density optical fiber cables and enabling technologies are explained.

This paper focuses on the local variable names and comments that are major artifacts reflecting the programmer's preference. It conducts an empirical analysis on the usefulness of those artifacts in assessing the software quality from the perspective of change-proneness in Java methods developed in six popular open source software products. The empirical results show: (1) a method having a longer named local variable is more change-prone, and (2) the presence of comments inside the method body strengthens the suspicions to be modified after the release. The above artifacts are worthy to find methods which can survive unscathed after the release.

This paper focuses on comments described in Java programs, and conducts an empirical analysis about relationships between comments and fault-proneness in the programs. The types of comments analyzed in this paper are comments described inside a method body (inner comments), and comments followed by a method declaration (documentation comments). Although both of them play important roles in the program comprehension, they seem to be described in different purposes, The inner comments are often added to present tips about code fragments, while the documentation comments usually work as a programmer's manual. In the field of code refactoring, well-written inner comments are said to be related to "code smell" since they may cover a lack of readability in a complicated code fragment. This paper analyzes the associations of comments with the code quality from the aspect of fault-proneness, with using four popular open source products. The empirical results show that a method having inner comments tends to be 1.8 - 3.0 times likely to be faulty. The key contribution of this work is to reveal the usefulness of inner comments to point at faulty methods.

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We have developed a novel depth perception control method for a monocular head-up display (HUD) in a car. However, it is difficult to achieve an accurate depth perception in the real world because of car vibration. To resolve this problem, we focus on a property that people complement hidden images by previous continuous observed images. We hide the image on the HUD when the car is vibrated. We aim to point at the accurate depth position by using HUD images with having users compliment the hidden image positions based on the continuous images before car vibration. We developed a car which detects big vibration by an acceleration sensor and is equipped with our monocular HUD. Our method pointed at the depth position within a 3.4 [m] error, which was 2 times more accurate than the previous method does.

This paper describes the management of files distributed in heterogeneous Data Grids by using RNS (Resource Namespace Service). RNS provides hierarchical namespace management for name-to-resource mapping as a key technology to use Grid resources for different kinds of middleware. RNS directory entries and junction entries can contain their own XML messages as metadata. We define attribute expressions in XML for the RNS entries and give an algorithm to access distributed files stored within different kinds of Data Grids. The example in this paper shows how our Grid application can retrieve the actual locations of files from the RNS server. An application can also access the distributed files as though they were files in the local file system without worrying about the underlying Data Grids. This approach can be used in a Grid computing system to handle distributed Grid resources.

This paper describes practical file access applications based on SAGA -- A Simple API for Grid Applications-- for distributed storage resources over multi-file-system middleware. SAGA provides a high-level programming interface to bridge between network file-system middleware as well as accessing a local file-system. The Computing Research Center of KEK uses many data files from physics experiments. For example, large numbers of bubble chamber image files are shared between KEK and King's College in UK. Our research problem involves displaying a single bubble chamber image file that is divided and stored in the different kinds of file-systems. We use the two types of file-systems that are iRODS --The Integrated Rule-Oriented Data System-- and Gfarm --Grid Data Farm--. To access the middleware, we are developing the SAGA adaptors for the iRODS and Gfarm file-systems. We present the technical details for the user environments and show the usability with real bubble chamber image files.

Summary: The Medaka Expression Pattern Database (MEPD) is a database for gene expression patterns determined by in situ hybridization in the small freshwater fish medaka (Oryzias latipes). Data have been collected from various research groups and MEPD is developing into a central expression pattern depository within the medaka community. Gene expression patterns are described by images and terms of a detailed medaka anatomy ontology of over 4000 terms, which we have developed for this purpose and submitted to Open Biological Ontologies. Sequences have been annotated via BLAST match results and using Gene Ontology terms. These new features will facilitate data analyses using bioinformatics approaches and allow cross-species comparisons of gene expression patterns. Presently, MEPD has 19 757 entries, for 1024 of them the expression pattern has been determined. Availability: A new version has been implemented at the EMBL in Heidelberg and is now accessible at http://www.embl.de/mepd Contact: [email protected] Supplementary information: http://www.embl.de/mepd/supplement.html

This paper presents the application of genetic programming (GP) to the prediction of price data in the Japanese stock market. The goal of this task is to choose the best stocks when making an investment and to decide when and how many stocks to sell or buy. There have been several applications of genetic algorithms (GAs) to financial problems, such as portfolio optimization, bankruptcy prediction, financial forecasting, fraud detection and scheduling. GP has also been applied to many problems in time-series prediction. However, relatively few studies have been made for the purpose of predicting stock market data by means of GP. This paper describes how successfully GP is applied to predicting stock data so as to gain a high profit. Comparative experiments are conducted with neural networks to show the effectiveness of the GP-based approach.