IN DUBIO PRO NATURA? A Philosophical Analysis of the Precautionary Principle in Environmental and Health Risk Governance

In this book, I apply a philosophical approach to study the precautionary principle in environmental (and health) risk decision-making. The principle says that unacceptable environmental and health risks should be anticipated, and they ought to be forestalled before the damage comes to fruition even if scientific understanding of the risks is inadequate. The study consists of introductory chapters, summary and seven original publications which aim at explicating the principle, critically analysing the debate on the principle, and constructing a basis for the well-founded use of the principle. Papers I-V present the main thesis of this research. In the two last papers, the discussion is widened to new directions. The starting question is how well the currently embraced precautionary principle stands up to critical philosophical scrutiny. The approach employed is analytical: mainly conceptual, argumentative and ethical. The study draws upon Anglo-American style philosophy on the one hand, and upon sources of law as well as concrete cases and decision-making practices at the European Union level and in its member countries on the other. The framework is environmental (and health) risk governance, including the related law and policy. The main thesis of this study is that the debate on the precautionary principle needs to be shifted from the question of whether the principle (or its weak or strong interpretation) is well-grounded in general to questions about the theoretical plausibility and ethical and socio-political justifiability of specific understandings of the principle. The real picture of the precautionary principle is more complex than that found (i.e. presumed) in much of the current academic, political and public debate surrounding it. While certain presumptions and interpretations of the principle are found to be sound, others are theoretically flawed or include serious practical problems. The analysis discloses conceptual and ethical presumptions and elementary understandings of the precautionary principle, critically assesses current practices invoked in the name of the precautionary principle and public participation, and seeks to build bridges between precaution, engagement and philosophical ethics. Hence, it is intended to provide a sound basis upon which subsequent academic scrutiny can build.

Corporate governance ja omistajaohjaus - valtioenemmistöiset yhtiöt ja valtion osakkuusyhtiöt

Tutkimuksessa muodostetaan osakeyhtiön corporate governance - viitekehys lähtien sen taustateorioista ja -malleista sekä käsitteistä. Tutkimuksessa tarkastellaan osakeyhtiön yhtiöoikeudellisia toimielimiä sekä niiden tehtäviä ja keskinäisiä suhteita. Tutkimusmetodina käytetään oikeustaloustieteellistä lainoppia. Erityisenä tutkimuskohteena ovat valtioenemmistöiset yhtiöt ja valtion osakkuusyhtiöt. Julkisen sektorin uudelleenorganisoinnin ja tehokkuusvaatimuksien vuoksi valtion omistamien yhtiöiden merkitys tullenee jatkossa kasvamaan. Osakkeenomistajien residuaalisen vaateen perusteella yhtiökokouksella on osakeyhtiön ylin päätösvalta. Yhtiökokous voi kuitenkin lähtökohtaisesti päättää vain sille lain tai yhtiöjärjestyksen mukaan kuuluvista tehtävistä. Hallituksella on yleistoimivalta, jonka perusteella hallitus vastaa kaikista niistä hallinnon tehtävistä, joita ei ole osoitettu muille toimielimille. Toimitusjohtaja vastaa juoksevan hallinnon hoitamisesta sekä kirjanpidon lainmukaisuudesta ja varainhoidon järjestämisestä luotettavalla tavalla. Hallintoneuvoston tehtävät rajoittuvat nykyisin lähinnä yhtiön muun johdon valvontaan. Useimmissa osakeyhtiöissä on oltava myös tilintarkastaja, jonka on tarkastettava yhtiön kirjanpito, tilinpäätös, toimintakertomus ja hallinto. Valtioenemmistöisten yhtiöiden ja valtion osakkuusyhtiöiden yhtiöoikeudellisten toimielinten asema ei lainsäädännön tai corporate governance - suositusten perusteella poikkea muista yhtiöistä. Vaikka yhtiön toimielinten vastuuketju on aiempaa selkeämpi, niin yhtiökäytännössä toimielinten tehtävien tosiasialliset rajat vaihtelevat suuresti riippuen erityisesti yhtiön toiminnan laajuudesta, omistusrakenteesta ja toimialasta.

Investigation and data adaptive analysis of CARS spectra

In this diploma work advantages of coherent anti-Stokes Raman scattering spectrometry (CARS) and various methods of the quantitative analysis of substance structure with its help are considered. The basic methods and concepts of the adaptive analysis are adduced. On the basis of these methods the algorithm of automatic measurement of a scattering strip size of a target component in CARS spectrum is developed. The algorithm uses known full spectrum of target substance and compares it with a CARS spectrum. The form of a differential spectrum is used as a feedback to control the accuracy of matching. To exclude the influence of a background in CARS spectra the differential spectrum is analysed by means of its second derivative. The algorithm is checked up on the simulated simple spectra and on the spectra of organic compounds received experimentally.

Adaptive optimization schemes for mobile VoIP applications Battery life and call quality aspects

In this thesis programmatic, application-layer means for better energy-efficiency in the VoIP application domain are studied. The work presented concentrates on optimizations which are suitable for VoIP-implementations utilizing SIP and IEEE 802.11 technologies. Energy-saving optimizations can have an impact on perceived call quality, and thus energy-saving means are studied together with those factors affecting perceived call quality. In this thesis a general view on a topic is given. Based on theory, adaptive optimization schemes for dynamic controlling of application's operation are proposed. A runtime quality model, capable of being integrated into optimization schemes, is developed for VoIP call quality estimation. Based on proposed optimization schemes, some power consumption measurements are done to find out achievable advantages. Measurement results show that a reduction in power consumption is possible to achieve with the help of adaptive optimization schemes.

Corporate Governance: Osakeyhtiön johdon velvollisuudet ja vastuu

Tutkimuksen tarkoituksena on selvittää, millainen Corporate Governance -järjestelmä ja sääntely-ympäristö Suomessa on voimassa. Tutkimuksessa tarkastellaan lisäksi osakeyhtiön johdon fidusiaarisia velvollisuuksia ja johdon velvollisuuksien tehosteena olevaa vastuujärjestelmää. Corporate Governance -järjestelmää analysoidaan perinteisestä oikeustieteellisestä näkökulmasta poiketen oikeustaloustieteen metodein. Tutkimuksen teoriapohja perustuu koti- ja ulkomaiseen oikeustaloustieteelliseen kirjallisuuteen, muutoin tutkimuksessa tukeudutaan suurimmilta osin kotimaiseen oikeuskirjallisuuteen ja virallislähteisiin. Suomalainen Corporate Governance -järjestelmä minimioi tehokkaasti transaktiokustannuksia ja tarjoaa osakkeenomistajille tehokkaan, informaation epäsymmetriaa rajoittavan valvontamekanismin. Jos johto toimii velvollisuuksiensa vastaisesti, osakkeenomistajat erottavat johdon, joka ei nauti sen luottamusta tai johto joutuu vastaamaan toimistaan vahingonkorvausvastuun tai rikosoikeudellisen vastuun kautta.

Buying behavior of public organizations and its influence on export partner governance

Public organizations form a significant part of any economy, yet their buying behavior has received very little attention. Operating with complex public sector is further complicated when sales and marketing activities are done by foreign export partners. This thesis explores the buying behavior of public organizations and how partnership governance is influenced by it. The theoretical part focuses on two subjects. Firstly the strictly regulated purchase process, rigid decision making and other special characteristics of public organizations are examined. Secondly the thesis examines partnership governance forms and how coordination is arranged in the relationships. The empirical part investigates the subjects of public organization buying behavior and partnership governance using a case study of a Finnish SME and their two export partners. The findings suggest high degree of uniformity between public organizations enables the use of unilateral governance forms. By creating mutual dependence through training the possibility of adopting a purely bilateral governance form exists as well.

Automated, adaptive methods for forest inventory

Forest inventories are used to estimate forest characteristics and the condition of forest for many different applications: operational tree logging for forest industry, forest health state estimation, carbon balance estimation, land-cover and land use analysis in order to avoid forest degradation etc. Recent inventory methods are strongly based on remote sensing data combined with field sample measurements, which are used to define estimates covering the whole area of interest. Remote sensing data from satellites, aerial photographs or aerial laser scannings are used, depending on the scale of inventory. To be applicable in operational use, forest inventory methods need to be easily adjusted to local conditions of the study area at hand. All the data handling and parameter tuning should be objective and automated as much as possible. The methods also need to be robust when applied to different forest types. Since there generally are no extensive direct physical models connecting the remote sensing data from different sources to the forest parameters that are estimated, mathematical estimation models are of "black-box" type, connecting the independent auxiliary data to dependent response data with linear or nonlinear arbitrary models. To avoid redundant complexity and over-fitting of the model, which is based on up to hundreds of possibly collinear variables extracted from the auxiliary data, variable selection is needed. To connect the auxiliary data to the inventory parameters that are estimated, field work must be performed. In larger study areas with dense forests, field work is expensive, and should therefore be minimized. To get cost-efficient inventories, field work could partly be replaced with information from formerly measured sites, databases. The work in this thesis is devoted to the development of automated, adaptive computation methods for aerial forest inventory. The mathematical model parameter definition steps are automated, and the cost-efficiency is improved by setting up a procedure that utilizes databases in the estimation of new area characteristics.

Exploring Adaptive Implementation of On-Chip Networks

As technology geometries have shrunk to the deep submicron regime, the communication delay and power consumption of global interconnections in high performance Multi- Processor Systems-on-Chip (MPSoCs) are becoming a major bottleneck. The Network-on- Chip (NoC) architecture paradigm, based on a modular packet-switched mechanism, can address many of the on-chip communication issues such as performance limitations of long interconnects and integration of large number of Processing Elements (PEs) on a chip. The choice of routing protocol and NoC structure can have a significant impact on performance and power consumption in on-chip networks. In addition, building a high performance, area and energy efficient on-chip network for multicore architectures requires a novel on-chip router allowing a larger network to be integrated on a single die with reduced power consumption. On top of that, network interfaces are employed to decouple computation resources from communication resources, to provide the synchronization between them, and to achieve backward compatibility with existing IP cores. Three adaptive routing algorithms are presented as a part of this thesis. The first presented routing protocol is a congestion-aware adaptive routing algorithm for 2D mesh NoCs which does not support multicast (one-to-many) traffic while the other two protocols are adaptive routing models supporting both unicast (one-to-one) and multicast traffic. A streamlined on-chip router architecture is also presented for avoiding congested areas in 2D mesh NoCs via employing efficient input and output selection. The output selection utilizes an adaptive routing algorithm based on the congestion condition of neighboring routers while the input selection allows packets to be serviced from each input port according to its congestion level. Moreover, in order to increase memory parallelism and bring compatibility with existing IP cores in network-based multiprocessor architectures, adaptive network interface architectures are presented to use multiple SDRAMs which can be accessed simultaneously. In addition, a smart memory controller is integrated in the adaptive network interface to improve the memory utilization and reduce both memory and network latencies. Three Dimensional Integrated Circuits (3D ICs) have been emerging as a viable candidate to achieve better performance and package density as compared to traditional 2D ICs. In addition, combining the benefits of 3D IC and NoC schemes provides a significant performance gain for 3D architectures. In recent years, inter-layer communication across multiple stacked layers (vertical channel) has attracted a lot of interest. In this thesis, a novel adaptive pipeline bus structure is proposed for inter-layer communication to improve the performance by reducing the delay and complexity of traditional bus arbitration. In addition, two mesh-based topologies for 3D architectures are also introduced to mitigate the inter-layer footprint and power dissipation on each layer with a small performance penalty.